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Search Results (398)

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19 pages, 7338 KiB  
Article
The Design and Evaluation of a Direction Sensor System Using Color Marker Patterns Onboard Small Fixed-Wing UAVs in a Wireless Relay System
by Kanya Hirai and Masazumi Ueba
Aerospace 2025, 12(3), 216; https://doi.org/10.3390/aerospace12030216 - 7 Mar 2025
Abstract
Among the several usages of unmanned aerial vehicles (UAVs), a wireless relay system is one of the most promising applications. Specifically, a small fixed-wing UAV is suitable to establish the system promptly. In the system, an antenna pointing control system directs an onboard [...] Read more.
Among the several usages of unmanned aerial vehicles (UAVs), a wireless relay system is one of the most promising applications. Specifically, a small fixed-wing UAV is suitable to establish the system promptly. In the system, an antenna pointing control system directs an onboard antenna to a ground station in order to form and maintain a communication link between the UAV and the ground station. In this paper, we propose a sensor system to detect the direction of the ground station from the UAV by using color marker patterns for the antenna pointing control system. The sensor detects the difference between the antenna pointing direction and the ground station direction. The sensor is characterized by the usage of both the color information of multiple color markers and color marker pattern matching. These enable the detection of distant, low-resolution markers, a high accuracy of marker detection, and robust marker detection against motion blur. In this paper, we describe the detailed algorithm of the sensor, and its performance is evaluated by using the prototype sensor system. Experimental performance evaluation results showed that the proposed method had a minimum detectable drawing size of 10.2 pixels, a motion blur tolerance of 0.0175, and a detection accuracy error of less than 0.12 deg. This performance indicates that the method has a minimum detectable draw size that is half that of the ArUco marker (a common AR marker), is 15.9 times more tolerant of motion blur than the ArUco marker, and has a detection accuracy error twice that of the ArUco marker. The color markers in the proposed method can be placed farther away or be smaller in size than ArUco markers, and they can be detected by the onboard camera even if the aircraft’s attitude changes significantly. The proposed method using color marker patterns has the potential to improve the operational flexibility of radio relay systems utilizing UAVs and is expected to be further developed in the future. Full article
(This article belongs to the Special Issue UAV System Modelling Design and Simulation)
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<p>Wireless relay system using a small fixed-wing UAV.</p>
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<p>Process to detect RCM.</p>
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<p>Relationship between the space-fixed coordinate system <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">O</mi> </mrow> <mrow> <mi mathvariant="normal">s</mi> </mrow> </msub> </mrow> </semantics></math>, the camera coordinate system <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">O</mi> </mrow> <mrow> <mi mathvariant="normal">c</mi> </mrow> </msub> </mrow> </semantics></math>, and the marker coordinates.</p>
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<p>An undirected graph consisting of 9 markers and 12 lines connecting them.</p>
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<p>Process of detecting RCM from acquired images: (<b>a</b>) captured image; (<b>b</b>) blob detection; (<b>c</b>) marker position prediction process in the image; (<b>d</b>) RCM detection.</p>
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<p>Relationship between the size of the marker M and the size D of the image.</p>
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<p>Relationship between the marker size D in the image and surface distance.</p>
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<p>Usage of the UAV in the wireless relay system.</p>
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<p>Simulation results of angular velocity applied to the antenna: (<b>a</b>) elevation direction; (<b>b</b>) azimuth direction.</p>
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<p>Experimental system for minimum marker size.</p>
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<p>Results of RCM detection rate by rendering size.</p>
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<p>RCM detection rate when errors are applied to ArUco markers.</p>
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<p>Experimental system to evaluate the minimum marker drawing size at which the RCM can be detected.</p>
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<p>Relationship between the angular difference in the detected angle <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>θ</mi> </mrow> <mrow> <mi>s</mi> </mrow> </msub> </mrow> </semantics></math> and the actual drive angle <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>θ</mi> </mrow> <mrow> <mi>t</mi> </mrow> </msub> </mrow> </semantics></math>. The blue markers represent the raw data output from the sensor, while the red markers represent the results after correction with A = 1.607.</p>
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<p>Result of deviation vs. drive angle.</p>
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<p>Experimental system to evaluate the maximum motion blur at which the RCM can be detected.</p>
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<p>Result of RCM detection rate per angular velocity.</p>
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<p>Effect of the proposed method on motion blur resistance with varying exposure time: (<b>a</b>) maximum angular velocity detectable by RCM vs. exposure time; (<b>b</b>) motion blur tolerance vs. exposure time. The blue markers represent the experimental results from <a href="#aerospace-12-00216-f017" class="html-fig">Figure 17</a>, while the orange markers represent the results from additional experiments.</p>
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<p>Example of RCM detection failure due to motion blur.</p>
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<p>Example of RCM detection failure due to changes in ambient light.</p>
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<p>Example of RCM detection failure due to some color markers being hidden (lower right color marker in image not visible).</p>
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11 pages, 2851 KiB  
Communication
A Method for Enhancing Inventory Efficiency of Densely Stacked Tags in RFID Cabinets
by Chengzhen Ma, Jia Chai, Kaiqi Ren, Tingting Xie, Zhicheng Ruan, Yuzhu Liu, Dan Zhang and Suiping Jiang
Sensors 2025, 25(5), 1617; https://doi.org/10.3390/s25051617 - 6 Mar 2025
Viewed by 144
Abstract
This paper explicitly proposes a novel algorithm to enhance the inventory efficiency of densely stacked tags in a radio frequency identification (RFID) cabinet. By flexibly setting the inventoried flags, tags are not repeatedly inventoried by different interrogator antennas in the RFID cabinet. Comprehensive [...] Read more.
This paper explicitly proposes a novel algorithm to enhance the inventory efficiency of densely stacked tags in a radio frequency identification (RFID) cabinet. By flexibly setting the inventoried flags, tags are not repeatedly inventoried by different interrogator antennas in the RFID cabinet. Comprehensive experiments are conducted to validate the proposed algorithm’s feasibility. The experimental results show that for 560 stacked tags, the proposed algorithm achieves 100% inventory accuracy while reducing inventory time by 40%, thereby significantly enhancing the efficiency of tag inventory management. Full article
(This article belongs to the Section Intelligent Sensors)
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<p>The RFID cabinet.</p>
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<p>The algorithm (<b>a</b>) before optimization and (<b>b</b>) after optimization.</p>
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<p>Schematic Diagram of Multi-tag Inventory.</p>
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<p>Experimental environment construction.</p>
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<p>Comparison of inventory accuracy.</p>
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<p>Comparison of inventory time.</p>
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<p>Comparison of the inventory results before removing duplicates.</p>
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<p>Duplicate EPC values of two different antennas in the upper computer.</p>
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<p>Schematic diagram of small-waveform problem displayed in oscilloscope.</p>
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9 pages, 5592 KiB  
Communication
Liquid Metal-Based Frequency and Pattern Reconfigurable Yagi Antenna for Pressure Sensing
by Xiaofeng Yang, Xiang Ma, Jiayi Yang, Yang Li, Meiping Peng and Qi Zheng
Sensors 2025, 25(5), 1498; https://doi.org/10.3390/s25051498 - 28 Feb 2025
Viewed by 183
Abstract
In this work, a frequency- and pattern-reconfigurable Yagi antenna based on liquid metal (LM) switches is proposed for pressure sensing and health monitoring. The proposed antenna consists of a dipole radiator, a reflector, a director, a dielectric substrate, and four flexible LM switches. [...] Read more.
In this work, a frequency- and pattern-reconfigurable Yagi antenna based on liquid metal (LM) switches is proposed for pressure sensing and health monitoring. The proposed antenna consists of a dipole radiator, a reflector, a director, a dielectric substrate, and four flexible LM switches. Benefitted from the switching effect of the LM switches under external pressure, the frequency and radiation pattern of the antenna can be reconfigured. When the LM switch is fully or partially turned on, the radiation directions of the antenna are bidirectionally end-shot and end-fired, respectively. The operating frequency of the antenna can be tuned from 2.28 GHz to 2.5 GHz. It is shown that a maximum gain of 6 dBi can be obtained. A sample was fabricated and measured, and the experimental results were in good agreement with the simulations. The reconfigurable antenna can be applied in wireless pressure-sensing and health-monitoring systems. Full article
(This article belongs to the Section Communications)
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<p>Structure of printed Yagi antenna: (<b>a</b>) top view, (<b>b</b>) side view, and (<b>c</b>) bottom view.</p>
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<p>Production flowchart of LM switch.</p>
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<p>(<b>a</b>) Photo of the LM fiber with stretch. (<b>b</b>) A bent LM fiber and the cross-section view of the LM fiber. (<b>c</b>) Plot of resistance versus stress. (<b>d</b>) The resistance of the LM fiber under increasing strain.</p>
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<p>(<b>a</b>) Simulated S11 and (<b>b</b>) normalized radiation patterns of the proposed antenna under four different states.</p>
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<p>Optimization analysis of antenna S<sub>11</sub>: (<b>a</b>) S<sub>11</sub> with different B<sub>5</sub>, (<b>b</b>) S<sub>11</sub> with different A<sub>2</sub>, and (<b>c</b>,<b>d</b>) S<sub>11</sub> with different Ref/Dir A and B.</p>
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<p>The physical map of the antenna: (<b>a</b>) the top and (<b>b</b>) the bottom.</p>
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<p>Four stress states of the LM switch: (<b>a</b>) state of the four switches with stress; (<b>b</b>) state of the four switches without stress; (<b>c</b>) state of S3 and S4 switches with stress; and (<b>d</b>) state of S1 and S2 with stress.</p>
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<p>(<b>a</b>) Measured S11 and (<b>b</b>) normalized radiation patterns of the proposed antenna under four different states.</p>
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18 pages, 13167 KiB  
Article
Research on Low-Profile Directional Flexible Antenna with 3D Coplanar Waveguide for Partial Discharge Detection
by Yan Mi, Wentao Liu, Yiqin Peng, Lei Deng, Benxiang Shu, Xiaopeng Wang and Songyuan Li
Micromachines 2025, 16(3), 253; https://doi.org/10.3390/mi16030253 - 24 Feb 2025
Viewed by 197
Abstract
Due to the challenges in antenna installation and detection performance caused by metal obstruction along the propagation path at a Gas-Insulated Switchgear (GIS) cable terminal, as well as the adverse effects of environmental interference on the detection of partial discharge (PD) by existing [...] Read more.
Due to the challenges in antenna installation and detection performance caused by metal obstruction along the propagation path at a Gas-Insulated Switchgear (GIS) cable terminal, as well as the adverse effects of environmental interference on the detection of partial discharge (PD) by existing flexible antennas, this paper proposes a directional flexible antenna design to mitigate these issues and improve detection performance. The proposed design employs a coplanar waveguide (CPW)-fed monopole antenna structure, where the grounding plane is extended to the back of the antenna to enhance directional reception. The designed flexible antenna measures 88.5 × 70 × 20 mm, and its low-profile design allows it to be easily mounted on the outer wall of the epoxy sleeve at the GIS cable terminal. The measurement results show that the flexible antenna has a Voltage Standing Wave Ratio (VSWR) of less than 2 in the 0.541–3 GHz frequency range. It also maintains stable impedance characteristics across various bending radii, with an average effective height of 10.79 mm in the 0.3–1.5 GHz frequency range. A GIS cable terminal PD experimental platform was established, and the experimental results demonstrate that the bending has minimal impact on the detection performance of the flexible antenna, which can cover the detection range of the GIS cable terminal; metal obstruction significantly impacts the PD signal amplitude, and the designed flexible antenna is suitable for detecting PDs in confined spaces with metal obstruction. Full article
(This article belongs to the Section E:Engineering and Technology)
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<p>Basic antenna structure. (<b>a</b>) CPW structure schematic; (<b>b</b>) cylindrical radiating element; (<b>c</b>) planar monopole antenna.</p>
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<p>GIS cable terminal and antenna structure schematic. (<b>a</b>) GIS cable terminal; (<b>b</b>) unfolded antenna diagram; (<b>c</b>) 3D coplanar waveguide antenna.</p>
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<p>VSWR simulation optimization curves. (<b>a</b>) <span class="html-italic">l</span> parameter optimization simulation result; (<b>b</b>) <span class="html-italic">e</span> parameter optimization simulation result; (<b>c</b>) <span class="html-italic">r</span><sub>1</sub> parameter optimization simulation result; (<b>d</b>) <span class="html-italic">r</span><sub>2</sub> parameter optimization simulation result; (<b>e</b>) evolution of the monopole shape; (<b>f</b>) optimized antenna VSWR simulation curve.</p>
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<p>Two-dimensional radiation patterns of the flexible antenna: (<b>a</b>) 0.5 GHz; (<b>b</b>) 1.0 GHz; (<b>c</b>) 1.5 GHz; (<b>d</b>) 2.0 GHz; (<b>e</b>) 2.5 GHz; (<b>f</b>) 3.0 GHz.</p>
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<p>Two-dimensional radiation patterns of the flexible antenna: (<b>a</b>) 0.5 GHz; (<b>b</b>) 1.0 GHz; (<b>c</b>) 1.5 GHz; (<b>d</b>) 2.0 GHz; (<b>e</b>) 2.5 GHz; (<b>f</b>) 3.0 GHz.</p>
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<p>Measured VSWR of flexible antenna. (<b>a</b>) Physical prototype of the flexible antenna; (<b>b</b>) vector network analyzer; (<b>c</b>) measured VSWR curve of the flexible antenna.</p>
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<p>Effective height experimental platform and measurement curve. (<b>a</b>) GTEM experimental measurement system; (<b>b</b>) GTEM test system physical setup; (<b>c</b>) measured effective height curve of the flexible antenna.</p>
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<p>PD experiment platform. (<b>a</b>) Typical air gap defect model; (<b>b</b>) typical metal protrusion defect model; (<b>c</b>) experimental circuit schematic; (<b>d</b>) PD experimental platform.</p>
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<p>PD experiment platform. (<b>a</b>) Typical air gap defect model; (<b>b</b>) typical metal protrusion defect model; (<b>c</b>) experimental circuit schematic; (<b>d</b>) PD experimental platform.</p>
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<p>PD pulse amplitude distribution at different bending conditions. (<b>a</b>) Metal protrusion defect; (<b>b</b>) air gap defect.</p>
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<p>PD pulse amplitude distribution at different bending conditions. (<b>a</b>) Metal protrusion defect; (<b>b</b>) air gap defect.</p>
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<p>PD experimental results and waveforms at different horizontal height differences. (<b>a</b>) PD pulse amplitude at different horizontal height differences; (<b>b</b>) metal protrusion defect at 75 cm height PD waveform; (<b>c</b>) air gap defect at 75 cm height PD waveform.</p>
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<p>PD detection results under metal obstruction conditions. (<b>a</b>) Flexible antenna metal protrusion defect detection results; (<b>b</b>) flexible antenna air gap defect detection results; (<b>c</b>) detection results for metal protrusion defect with two antennas; (<b>d</b>) detection results for air gap defect with two antennas.</p>
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16 pages, 2018 KiB  
Article
A High-Sensitivity Inkjet-Printed Flexible Resonator for Monitoring Dielectric Changes in Meat
by Jamal Abounasr, Mariam El Gharbi, Raúl Fernández García and Ignacio Gil
Sensors 2025, 25(5), 1338; https://doi.org/10.3390/s25051338 - 22 Feb 2025
Viewed by 285
Abstract
This paper introduces a flexible loop antenna-based sensor optimized for real-time monitoring of meat quality by detecting changes in dielectric properties over a six-day storage period. Operating within the 2.4 GHz ISM band, the sensor is designed using CST Microwave Studio 2024 to [...] Read more.
This paper introduces a flexible loop antenna-based sensor optimized for real-time monitoring of meat quality by detecting changes in dielectric properties over a six-day storage period. Operating within the 2.4 GHz ISM band, the sensor is designed using CST Microwave Studio 2024 to deliver high sensitivity and accuracy. The sensing mechanism leverages resonance frequency shifts caused by variations in permittivity as the meat degrades. Experimental validation across five samples showed a consistent frequency shift from 2.14 GHz (Day 0) to 1.29 GHz (Day 5), with an average sensitivity of 0.173GHz/day. A strong correlation was observed between measured and simulated results, as evidenced by linear regression (R2=0.984 and R2=0.974 for measured and simulated data, respectively). The sensor demonstrated high precision and repeatability, validated by low standard deviations and minimal frequency deviations. Compact, printable, and cost-effective, the proposed sensor offers a scalable solution for food quality monitoring. Its robust performance highlights its potential for integration into IoT platforms and extension to other perishable food products, advancing real-time, non-invasive, RF-based food safety technologies. Full article
(This article belongs to the Special Issue Applications of Antenna Technology in Sensors II)
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<p>Overview of the experimental setup and fabrication process: (<b>a</b>) Q-meter used for extracting electrical properties of the substrate; (<b>b</b>) Voltera NOVA inkjet and extrusion printer used for antenna fabrication; (<b>c</b>) Memmert oven for drying and curing the printed ink to ensure proper adhesion and distribution; (<b>d</b>) final fabricated loop antenna; (<b>e</b>) 10 g of meat sample; (<b>f</b>) vector network analyzer (VNA) for antenna performance validation.</p>
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<p>The geometrical parameters of the proposed antenna.</p>
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<p>Simulated electric field highlighting the interactions between the loop antenna and the meat sample: (<b>a</b>) side view and (<b>b</b>) 3D view of the E field.</p>
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<p>Three-dimensional model representation of the experimental protocol for assessing meat quality using microwave sensing. The model depicts fresh samples (Day 0) and aged samples (Day 5) placed in containers, connected to a microwave sensing setup and a vector network analyzer (VNA).</p>
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<p>Comprehensive experimental setup for analyzing dielectric property variations in meat samples from Day 0 to Day 5.</p>
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<p>Comparison of measured and simulated <math display="inline"><semantics> <msub> <mi>S</mi> <mn>11</mn> </msub> </semantics></math> in free space.</p>
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<p>Simulated <math display="inline"><semantics> <msub> <mi>S</mi> <mn>11</mn> </msub> </semantics></math> response over the frequency range for various permittivity values corresponding to different days.</p>
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<p>Dynamic relationship between simulated permittivity and frequency across days.</p>
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<p>Average (<math display="inline"><semantics> <msub> <mi>S</mi> <mn>11</mn> </msub> </semantics></math>) measurements over six days.</p>
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<p>Trend of measured resonance frequencies across individual samples over six days.</p>
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<p>Measured minimum <math display="inline"><semantics> <msub> <mi>S</mi> <mn>11</mn> </msub> </semantics></math> amplitudes with average and error bars over days.</p>
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<p>Linear regression analysis of measured and simulated resonant frequencies over time.</p>
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16 pages, 10336 KiB  
Article
A Design of a Small-Aperture Low-Profile Omnidirectional Conformal Antenna
by Jieying Bai, Xi Li, Ziyu Zhang, Junjun Wu and Lin Yang
Micromachines 2025, 16(2), 217; https://doi.org/10.3390/mi16020217 - 14 Feb 2025
Viewed by 344
Abstract
In this article, a small-aperture, low-profile, and omnidirectional conformal antenna is proposed which can be utilized on space-limited equipment platforms such as airplanes, ships, and vehicles. The antenna consists of an open metal cavity, a discone antenna, a parasitic structure, and a radome. [...] Read more.
In this article, a small-aperture, low-profile, and omnidirectional conformal antenna is proposed which can be utilized on space-limited equipment platforms such as airplanes, ships, and vehicles. The antenna consists of an open metal cavity, a discone antenna, a parasitic structure, and a radome. The small aperture and low-profile design of the metal cavity result in a rapid narrowing of the bandwidth of the discone antenna. Therefore, we introduce a parasitic structure that not only enlarges the impedance bandwidth by adding a resonant point, but can also be used to adjust the unroundness of the horizontal pattern. Meanwhile, the conformal design of the antenna with four surfaces of different curvatures is presented. The simulation and testing results demonstrate that the antenna can achieve a VSWR of less than 2 within a bandwidth of 1.95–2.62 GHz (29.3%), with a minimum aperture of 0.43 omnidirectional radiation pattern, with a gain exceeding −2.2 dBi in the azimuthal plane. This antenna offers the advantages of a small aperture, low profile, and conformal capability. Furthermore, the resonances of high and low frequencies can be adjusted through two different structures, enhancing the flexibility of antenna design. Full article
(This article belongs to the Section E:Engineering and Technology)
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<p>Antenna structure and dimensions: (<b>a</b>) installation and outline schematic; (<b>b</b>) top view and cross-sectional view.</p>
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<p>Diagram of the antenna design process.</p>
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<p>Comparison of electric field distribution on the antenna with and without parasitic structures.</p>
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<p>Comparison of VSWR and impedance with and without parasitic structures: (<b>a</b>) VSWR; (<b>b</b>) impedance.</p>
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<p>Diagrams of horizontal gain with or without parasitic structures.</p>
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<p>Effect of parasitic structure position on unroundness.</p>
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<p>Diagram of VSWR with and without metallic plate.</p>
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<p>Diagram of radiation pattern with and without metallic plate.</p>
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<p>Diagram of the beam pointing angle as a function of the metallic plate radius.</p>
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<p>Diagram of the average gain as a function of the metallic plate radius.</p>
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<p>Left view of four antennas.</p>
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<p>Impact of metal cone height (H<sub>2</sub>) and radius (R<sub>1</sub>) on antenna matching.</p>
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<p>Impact of height (H<sub>4</sub>), length (L<sub>3</sub>), and position of parasitic structures (R<sub>3</sub>) on antenna matching.</p>
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<p>Diagram of the antenna test environment.</p>
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<p>Diagrams of antennas on three different curvature surfaces: (<b>a</b>) top view; (<b>b</b>) front view.</p>
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<p>Diagram of the antenna test system.</p>
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<p>Diagram of simulated and measured VSWR for the antenna.</p>
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<p>Diagram of measured VSWR for antennas.</p>
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<p>Simulation and measured radiation patterns (xoy plane) and gain: (<b>a</b>) 2.025 GHz; (<b>b</b>) 2.2 GHz; (<b>c</b>) 2.475 GHz.</p>
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<p>The measured horizontal average gain of Ants. 1, 2, and 3.</p>
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13 pages, 8457 KiB  
Article
Electromagnetic Properties of Natural Plant Leaves for Eco-Friendly and Biodegradable Substrates for Wireless IoT Devices
by Nikolay Todorov Atanasov, Blagovest Nikolaev Atanasov and Gabriela Lachezarova Atanasova
Sensors 2025, 25(4), 1118; https://doi.org/10.3390/s25041118 - 12 Feb 2025
Viewed by 413
Abstract
Today, innovative engineering solutions, including IoT devices, enable the precise monitoring of plant health and the early detection of diseases. However, the lifespan of IoT devices used for the real-time monitoring of environmental or plant parameters in precision agriculture is typically only a [...] Read more.
Today, innovative engineering solutions, including IoT devices, enable the precise monitoring of plant health and the early detection of diseases. However, the lifespan of IoT devices used for the real-time monitoring of environmental or plant parameters in precision agriculture is typically only a few months, from planting to harvest. This short lifespan creates challenges in managing the e-waste generated by smart agriculture. One potential solution to reduce the volume and environmental impact of e-waste is to use more environmentally friendly and biodegradable materials to replace the non-degradable components (substrates) currently used in the structure of IoT devices. In this study, we estimate the electromagnetic properties at 2565 MHz of the leaves from three widely grown crops: winter wheat, corn, and sunflower. We found that winter wheat and sunflower leaves have values of the real part of relative permittivity ranging from about 33 to 69 (wheat) and 13 to 32 (sunflower), respectively, while corn exhibits a value of about 33.5. Our research indicates that the position of a leaf on the plant stem and its distance from the soil significantly affect the relative permittivity of winter wheat and sunflower. These relationships, however, are not evident in the electromagnetic properties of corn leaves. Full article
(This article belongs to the Special Issue Electromagnetic Waves, Antennas and Sensor Technologies)
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<p>Application example of a wearable antenna on a substrate from a <span class="html-italic">ZZ plant</span> leaf: (<b>a</b>) photo of the antenna prototype; (<b>b</b>) measured reflection coefficient |S<sub>11</sub>| and 3D radiation pattern.</p>
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<p>Locations of agricultural fields and their GPS coordinates.</p>
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<p>Photos of the sample preparation procedure.</p>
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<p>Block diagram of the experimental setup.</p>
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<p>Results from measurements of winter wheat leaves during three growth stages (from Feekes 8 to Feekes 10.5) in the agriculture field near Blagoevgrad: (<b>a</b>) Real part of the relative permittivity; (<b>b</b>) Imaginary part of the relative permittivity; (<b>c</b>) Leaf length; (<b>d</b>) Plant height, soil relative humidity and temperature.</p>
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<p>Results from measurements of winter wheat leaves in the agriculture field near Stoyanovtci: (<b>a</b>) Real and imaginary parts of the relative permittivity; (<b>b</b>) Leaf length, plant height, soil relative humidity and temperature.</p>
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<p>Results from measurements of corn leaves during the R5 growth stage: (<b>a</b>) Mean value and standard deviation of real and imaginary parts of corn leaf relative permittivity measured in agricultural fields near Mezdra; (<b>b</b>) Mean value and standard deviation of real and imaginary parts of corn leaf relative permittivity measured in agricultural fields near Dabrava; (<b>c</b>) Leaf length, plant height, soil relative humidity and temperature for measurements in agricultural fields near Mezdra; (<b>d</b>) Leaf length, plant height, soil relative humidity and temperature for measurements in agricultural fields near Dabrava.</p>
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<p>Results from measurements of sunflower leaves during the seed development stage in the agriculture field near Kameno pole: (<b>a</b>) Real part of the relative permittivity; (<b>b</b>) Imaginary part of the relative permittivity; (<b>c</b>) Leaf area, plant height, soil relative humidity and temperature; (<b>d</b>) Photos.</p>
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24 pages, 21508 KiB  
Article
A Multiple-Input Multiple-Output Synthetic Aperture Radar Echo Separation and Range Ambiguity Suppression Processing Framework for High-Resolution Wide-Swath Imaging
by Haonan Zhao, Zhimin Zhang, Zhen Chen, Huaitao Fan, Zongsen Lv and Jianzhong Bi
Remote Sens. 2025, 17(4), 609; https://doi.org/10.3390/rs17040609 - 11 Feb 2025
Viewed by 304
Abstract
Multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) is a promising scheme for high-resolution wide-swath (HRWS) imaging. After echo separation processing, a MIMO-SAR system can provide many equivalent phase centers (EPCs) in azimuth. However, EPC duplication occurs for traditional monostatic systems with uniform antenna [...] Read more.
Multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) is a promising scheme for high-resolution wide-swath (HRWS) imaging. After echo separation processing, a MIMO-SAR system can provide many equivalent phase centers (EPCs) in azimuth. However, EPC duplication occurs for traditional monostatic systems with uniform antenna arrays, leading to system resource waste. Moreover, range ambiguity suppression is a necessary process for wide-swath SAR systems. In this paper, a novel MIMO-SAR echo separation and range ambiguity suppression processing framework is proposed for HRWS imaging. A set of transmission delays is introduced to the transmit channels to displace the repetitive EPCs. The transmission delays can also be used to flexibly control the performance of echo separation. A wide-null beamformer is employed to accomplish echo separation and ambiguity suppression simultaneously. The proposed framework is designed for real-time processing and therefore does not require frequency-domain operations. Finally, the proposed framework is verified through point target and distributed scene simulation experiments. Full article
(This article belongs to the Special Issue SAR-Based Signal Processing and Target Recognition (Second Edition))
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<p>Configuration of proposed MIMO-SAR system.</p>
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<p>Timing diagram of proposed MIMO-SAR system. (<b>a</b>) Timing diagram for transmitting and receiving. (<b>b</b>) Useful components of separated echoes from different Tx channels.</p>
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<p>Illustration of the number of EPCs. (<b>a</b>) SIMO system configuration. (<b>b</b>) Traditional MIMO system configuration. (<b>c</b>) Proposed MIMO system configuration for airborne SAR. (<b>d</b>) Proposed MIMO system configuration for spaceborne SAR.</p>
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<p>Diagrammatic illustration of the echo separation process.</p>
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<p>Illustration of time–space relationship. (<b>a</b>) Echoes after matched filtering. (<b>b</b>) Echoes after bandpass filtering (blue color for Tx1 and orange color for Tx2).</p>
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<p>Illustration of the bandpass filter configuration. (<b>a</b>) LFM signal. (<b>b</b>) Classic NLFM signal.</p>
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<p>Geometry of imaging swath and ambiguity regions.</p>
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<p>Illustration of time–space relationships for echoes with <math display="inline"><semantics> <mrow> <mo>±</mo> <msup> <mn>1</mn> <mrow> <mi>s</mi> <mi>t</mi> </mrow> </msup> </mrow> </semantics></math> order range ambiguities.</p>
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<p>Beam pattern of LCMV beamformers. (<b>a</b>) Basic LCMV beamformer. (<b>b</b>) Derivative-constrained LCMV beamformer. (<b>c</b>) Multi-null-constrained LCMV beamformer (solid line for beam direction and dashed line for null direction).</p>
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<p>Illustration of the beam pattern in the proposed scheme.</p>
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<p>Zebra map of the simulated MIMO-SAR system.</p>
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<p>(<b>a</b>) Distributions of point targets. (<b>b</b>) The processing flow.</p>
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<p>Point target simulation results. (<b>a</b>) Imaging result processed with traditional beamformer. (<b>b</b>) Imaging result processed with proposed beamformer. (<b>c</b>) Range bin amplitude processed with traditional beamformer. (<b>d</b>) Range bin amplitude processed with proposed beamformer.</p>
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<p>Up-sampled contour map of point targets. (<b>a</b>) Point A processed with traditional beamformer. (<b>b</b>) Point B processed with traditional beamformer. (<b>c</b>) Point C processed with traditional beamformer. (<b>d</b>) Point A processed with proposed beamformer. (<b>e</b>) Point B processed with proposed beamformer. (<b>f</b>) Point C processed with proposed beamformer.</p>
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<p>Range bin amplitude comparison of traditional and proposed beamformer. (<b>a</b>) Near-range bin. (<b>b</b>) Far-range bin.</p>
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<p>One-dimensional simulation results of different MIMO-SAR schemes. (<b>a</b>) Proposed scheme. (<b>b</b>) STSO scheme. (<b>c</b>) SPC scheme.</p>
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<p>Theoretical SNR improvement of MIMO-SAR schemes.</p>
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<p>SAR images for distributed scene simulation. (<b>a</b>) Imaging swath. (<b>b</b>) <math display="inline"><semantics> <mrow> <mo>−</mo> <msup> <mn>1</mn> <mrow> <mi>s</mi> <mi>t</mi> </mrow> </msup> </mrow> </semantics></math> order range ambiguity swath. (<b>c</b>) <math display="inline"><semantics> <mrow> <mo>+</mo> <msup> <mn>1</mn> <mrow> <mi>s</mi> <mi>t</mi> </mrow> </msup> </mrow> </semantics></math> order range ambiguity swath.</p>
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<p>Distributed scene simulation results. (<b>a</b>) Imaging result of mixed echo in single channel. (<b>b</b>) Imaging result processed with traditional beamformer. (<b>c</b>) Imaging result processed with contrast beamformer. (<b>d</b>) Imaging result processed with proposed beamformer.</p>
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36 pages, 55356 KiB  
Article
High-Gain Miniaturized Multi-Band MIMO SSPP LWA for Vehicular Communications
by Tale Saeidi, Sahar Saleh, Nick Timmons, Christopher McDaid, Ahmed Jamal Abdullah Al-Gburi, Faroq Razzaz and Saeid Karamzadeh
Technologies 2025, 13(2), 66; https://doi.org/10.3390/technologies13020066 - 4 Feb 2025
Viewed by 815
Abstract
This paper introduces a novel miniaturized, four-mode, semi-flexible leaky wave Multiple-Input Multiple-Output (MIMO) antenna specifically designed to advance vehicular communication systems. The proposed antenna addresses key challenges in 5G low- and high-frequency bands, including millimeter-wave communication, by integrating innovative features such as a [...] Read more.
This paper introduces a novel miniaturized, four-mode, semi-flexible leaky wave Multiple-Input Multiple-Output (MIMO) antenna specifically designed to advance vehicular communication systems. The proposed antenna addresses key challenges in 5G low- and high-frequency bands, including millimeter-wave communication, by integrating innovative features such as a periodic Spoof Surface Plasmon Polariton Transmission Line (SSPP-TL) and logarithmic-spiral-like semi-circular strip patches parasitically fed via orthogonal ports. These design elements facilitate stable impedance matching and wide impedance bandwidths across operating bands, which is essential for vehicular networks. The hybrid combination of leaky wave and SSPP structures, along with a defected wide-slot ground structure and backside meander lines, enhances radiation characteristics by reducing back and bidirectional radiation. Additionally, a naturalization network incorporating chamfered-edge meander lines minimizes mutual coupling and introduces a fourth radiation mode at 80 GHz. Compact in size (14 × 12 × 0.25 mm3), the antenna achieves high-performance metrics, including S11 < −18.34 dB, dual-polarization, peak directive gains of 11.6 dBi (free space) and 14.6 dBi (on vehicles), isolation > 27 dB, Channel Capacity Loss (CCL) < 3, Envelope Correlation Coefficient (ECC) < 0.001, axial ratio < 2.25, and diversity gain (DG) > 9.85 dB. Extensive testing across various vehicular scenarios confirms the antenna’s robustness for Vehicle-to-Vehicle (V2V), Vehicle-to-Pedestrian (V2P), and Vehicle-to-Infrastructure (V2I) communication. Its exceptional performance ensures seamless connectivity with mobile networks and enhances safety through Specific Absorption Rate (SAR) compliance. This compact, high-performance antenna is a transformative solution for connected and autonomous vehicles, addressing critical challenges in modern automotive communication networks and paving the way for reliable and efficient vehicular communication systems. Full article
(This article belongs to the Collection Electrical Technologies)
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<p>The design steps of the proposed antenna.</p>
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<p>The design configuration (<b>a</b>): front view, (<b>b</b>): ground view, and (<b>c</b>): perspective view.</p>
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<p>Variations of dispersion for the SSPP structures.</p>
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<p>Variations of dispersion for the SSPP structures.</p>
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<p>The dispersion curves of SSPP unit cell.</p>
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<p>Computed distributions of the E and H fields for the suggested one-port SSP LWA are shown at the following frequencies: (<b>a</b>) 3.4 GHz, (<b>b</b>) 8.5 GHz, (<b>c</b>) 18 GHz, (<b>d</b>) 24 GHz, (<b>e</b>) 35 GHz, (<b>f</b>) 60 GHz, and (<b>g</b>) 80 GHz (The red and blue colors are the minimum and maximum, respectively).</p>
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<p>Modeled patterns of the E/H fields for the two-port designed antenna at the following frequencies: (<b>a</b>) 3.4 GHz, (<b>b</b>) 8.5 GHz, (<b>c</b>) 18 GHz, (<b>d</b>) 24 GHz, (<b>e</b>) 35 GHz, (<b>f</b>) 60 GHz, and (<b>g</b>) 80 GHz (The red and blue colors are the minimum and maximum, respectively).</p>
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<p>The proposed antenna’s phase distribution at (<b>a</b>): 3.4 GHz, (<b>b</b>): 5.6 GHz, (<b>c</b>): 10 GHz, (<b>d</b>): 18 GHz, (<b>e</b>): 24 GHz, (<b>f</b>): 28 GHz, (<b>g</b>): 35 GHz, (<b>h</b>): 50 GHz, (<b>i</b>): 60 GHz, and (<b>j</b>): 80 GHz (The yellow and dark blue are the maximum and minimum, respectively).</p>
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<p>The SCD of the proposed antenna across stages 1 through 6 (The red and blue colors are the maximum and minimum, respectively).</p>
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<p>A parametric study of five essential parameters in terms of reflection coefficient results in (<b>a</b>): <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">a</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>,</mo> <msub> <mrow> <mi mathvariant="normal">b</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>; (<b>b</b>): <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">a</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> <mo>,</mo> <msub> <mrow> <mi mathvariant="normal">b</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> </semantics></math>; (<b>c</b>): <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">L</mi> </mrow> <mrow> <mi mathvariant="normal">f</mi> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">L</mi> </mrow> <mrow> <mi mathvariant="normal">f</mi> <mn>2</mn> </mrow> </msub> </mrow> </semantics></math>; (<b>d</b>): <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">L</mi> </mrow> <mrow> <mi mathvariant="normal">g</mi> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>; and (<b>e</b>): SSPP array.</p>
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<p>The S-parameter results of the proposed MIMO after parametric study (<b>a</b>): reflection coefficient, (<b>b</b>): transmission coefficient, and (<b>c</b>): two-port MIMO results.</p>
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<p>Radiation patterns overlap between ports 1 and 2: black dotted line is port 1, red dashed line is port 2.</p>
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<p>Evaluations for automotive scenarios using the suggested antenna positioned on the roof (<b>a</b>) front, (<b>b</b>) four sides, (<b>c</b>) front and back, and (<b>d</b>) on two cars when one bike is between them.</p>
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<p>Effect of the vehicle body on the proposed SSPP LWA: (<b>a</b>) reflection coefficient, (<b>b</b>) transmission coefficient, and (<b>c</b>) gain, AR, and radiation efficiency.</p>
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<p>Simulation setup and S-parameters assessment when obstacles are between two cars and walls around the cars and soil ground beneath cars (<b>a</b>) reflection coefficients, (<b>b</b>) transmission coefficients, (<b>c</b>) simulation setup.</p>
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<p>Simulation setup and S-parameters assessment when two antennas are inside the car for in-vehicle communications (<b>a</b>) reflection coefficients, (<b>b</b>) transmission coefficients, (<b>c</b>) simulation setup.</p>
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<p>The two-dimensional radiation patterns of a single antenna positioned at the front.</p>
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<p>The two-dimensional radiation patterns when four antennas are placed on four sides.</p>
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<p>The two-dimensional radiation patterns with four antennas on the bigger car and two antennas on the smaller car.</p>
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<p>Measurement setup of the proposed antenna: (<b>a</b>) measurement setup of antenna and the network analyzer, (<b>b</b>) the front and back of fabricated antenna, (<b>c</b>) E-radiation measurement in the chamber, and (<b>d</b>) H-radiation measurement in the chamber.</p>
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<p>Observed and modeled (<b>a</b>) reflection and transmission parameters and (<b>b</b>) radiation characteristics.</p>
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<p>Measured and simulated radiation patterns of the proposed antenna at (<b>a</b>): 3.4 GHz, (<b>b</b>): 8.5 GHz, (<b>c</b>): 24 GHz, (<b>d</b>): 35 GHz, (<b>e</b>): 60 GHz, and (<b>f</b>): 80 GHz.</p>
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<p>MIMO antenna’s diversity characteristics: (<b>a</b>) CCL and DG, (<b>b</b>) ECC and MEG.</p>
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20 pages, 6451 KiB  
Article
Overcoming Printed Circuit Board Limitations in an Energy Harvester with Amplitude Shift Keying and Pulse Width Modulation Communication Decoder Using Practical Design Solutions
by Mohamad Al Sabbagh, Rony E. Amaya, Mustapha Chérif-Eddine Yagoub and Abdullah M. Almohaimeed
Electronics 2025, 14(3), 485; https://doi.org/10.3390/electronics14030485 - 25 Jan 2025
Viewed by 446
Abstract
This paper presents PCB design solutions for implementing a radiative-field RF energy harvester with an ASK-PWM decoding communication scheme using available commercial components. The paper provides the design approach and tackles key challenges such as the impact of inductive parasitic effects at the [...] Read more.
This paper presents PCB design solutions for implementing a radiative-field RF energy harvester with an ASK-PWM decoding communication scheme using available commercial components. The paper provides the design approach and tackles key challenges such as the impact of inductive parasitic effects at the output of the harvester, how to maintain the PCE at a constant value regardless of the time constant at the output of the communication path’s rectifier, and the difficulty of changing the aspect ratio of the discrete inverter used for PWM decoding. These challenges are addressed by using multiple capacitors connected in parallel at the output of the rectifier to reduce inductive parasitic effects, adding a series resistor in the communication path’s rectifier to isolate its loading from impacting the PCE, and utilizing a potentiometer in the inverter to realize PWM decoding on PCB. The system was manufactured using FR-4 substrate material with a size of 5 cm × 4 cm × 0.6 cm, harvesting energy at the ISM frequency of 924 MHz with a PCE of 42.12% at a bit rate of 15 Kbps. Moreover, the system consumes only 355 μW of power and maintains correct harvesting and decoding operation in the antenna separation range of 6–12 cm. This work aims to provide an alternative to IC realization by implementing the system entirely using commercial discrete components, reducing costs, adding flexibility, reducing development time, and allowing for simple debugging. Full article
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<p>Proposed harvesting ASK-PWM circuit with contribution highlighted in dashed boxes.</p>
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<p>Illustrative plots of ASK-PWM demodulator and decoder.</p>
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<p>Voltage doubler design in ADS: (<b>a</b>) schematic, (<b>b</b>) matching simulation, and (<b>c</b>) <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>E</mi> <mi>H</mi> </mrow> </msub> </semantics></math> (blue) and <math display="inline"><semantics> <mrow> <mi>P</mi> <mi>C</mi> <mi>E</mi> </mrow> </semantics></math> (red) simulations.</p>
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<p>Inductive parasitic effect on harvested voltage: (<b>a</b>) transient simulations of schematic without <math display="inline"><semantics> <msub> <mi>L</mi> <mi>P</mi> </msub> </semantics></math>, (<b>b</b>) schematic’s frequency response, (<b>c</b>) original layout with transient co-simulation, (<b>d</b>) original layout’s frequency response, (<b>e</b>) modified layout with transient co-simulation, and (<b>f</b>) modified layout’s frequency response.</p>
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<p>A plot showing the relationship between the RF swing at the output and the number of shunt capacitive branches with blue dashed lines highlighting successive voltage reduction.</p>
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<p>Interface between harvester and communication paths.</p>
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<p>Frequency response of the communication path: (<b>a</b>) test bench schematic, and (<b>b</b>) simulation with different <math display="inline"><semantics> <msub> <mi>C</mi> <mn>3</mn> </msub> </semantics></math> values.</p>
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<p>Transient response of the circuit in <a href="#electronics-14-00485-f006" class="html-fig">Figure 6</a> when: (<b>a</b>) <math display="inline"><semantics> <msub> <mi>C</mi> <mn>3</mn> </msub> </semantics></math> = 10 pF, and (<b>b</b>) <math display="inline"><semantics> <msub> <mi>C</mi> <mn>3</mn> </msub> </semantics></math> = 1000 pF.</p>
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<p>Voltage reduction by adjusting <math display="inline"><semantics> <msub> <mi>R</mi> <mrow> <mi>e</mi> <mi>q</mi> </mrow> </msub> </semantics></math>: (<b>a</b>) voltage drop without <math display="inline"><semantics> <msub> <mi>R</mi> <mi>M</mi> </msub> </semantics></math>, (<b>b</b>) <math display="inline"><semantics> <mrow> <mi>P</mi> <mi>C</mi> <mi>E</mi> </mrow> </semantics></math> of harvesting path without <math display="inline"><semantics> <msub> <mi>R</mi> <mi>M</mi> </msub> </semantics></math> in the communication’s path, (<b>c</b>) voltage drop with <math display="inline"><semantics> <msub> <mi>R</mi> <mi>M</mi> </msub> </semantics></math>, and (<b>d</b>) <math display="inline"><semantics> <mrow> <mi>P</mi> <mi>C</mi> <mi>E</mi> </mrow> </semantics></math> of the harvester’s path with <math display="inline"><semantics> <msub> <mi>R</mi> <mi>M</mi> </msub> </semantics></math> added in the communication’s path.</p>
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<p>ASK filter and demodulator simulations: (<b>a</b>) <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>C</mi> <mi>O</mi> <mi>M</mi> <mi>M</mi> </mrow> </msub> </semantics></math>; (<b>b</b>) <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>E</mi> <mi>N</mi> <mi>V</mi> </mrow> </msub> </semantics></math> and <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>C</mi> <mi>M</mi> </mrow> </msub> </semantics></math>; (<b>c</b>) <math display="inline"><semantics> <mrow> <mi>C</mi> <mi>L</mi> <mi>K</mi> </mrow> </semantics></math>; and (<b>d</b>) voltage difference between <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>E</mi> <mi>N</mi> <mi>V</mi> </mrow> </msub> </semantics></math> and <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>C</mi> <mi>M</mi> </mrow> </msub> </semantics></math> during idle mode to reduce switching errors.</p>
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<p>Simulations of the proposed discrete PWM decoder showing: (<b>a</b>) “0010” repetitive <math display="inline"><semantics> <mrow> <mi>C</mi> <mi>L</mi> <mi>K</mi> </mrow> </semantics></math>, (<b>b</b>) <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>S</mi> <mi>K</mi> </mrow> </msub> </semantics></math> and <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>R</mi> <mi>E</mi> <mi>F</mi> </mrow> </msub> </semantics></math>, and (<b>c</b>) recovered data <math display="inline"><semantics> <msub> <mi>V</mi> <mi>D</mi> </msub> </semantics></math>.</p>
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<p>Experimental work showing: (<b>a</b>) printed circuit, and (<b>b</b>) measurements setup.</p>
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<p>Waveform measurements obtained from oscilloscope showing: (<b>a</b>) <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>E</mi> <mi>H</mi> </mrow> </msub> </semantics></math> (red) and <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>R</mi> <mi>E</mi> <mi>G</mi> </mrow> </msub> </semantics></math> (blue); (<b>b</b>) <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>C</mi> <mi>O</mi> <mi>M</mi> <mi>M</mi> </mrow> </msub> </semantics></math>; (<b>c</b>) <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>E</mi> <mi>N</mi> <mi>V</mi> </mrow> </msub> </semantics></math> (red) and <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>C</mi> <mi>M</mi> </mrow> </msub> </semantics></math> (blue); (<b>d</b>) <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>S</mi> <mi>K</mi> </mrow> </msub> </semantics></math> (red) and <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>R</mi> <mi>E</mi> <mi>F</mi> </mrow> </msub> </semantics></math> (blue); (<b>e</b>) <math display="inline"><semantics> <msub> <mi>V</mi> <mi>D</mi> </msub> </semantics></math> (red) and <math display="inline"><semantics> <mrow> <mi>C</mi> <mi>L</mi> <mi>K</mi> </mrow> </semantics></math> (blue); and (<b>f</b>) measured distance validation.</p>
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<p>A plot showing synchronization between <math display="inline"><semantics> <msub> <mi>V</mi> <mi>D</mi> </msub> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>C</mi> <mi>L</mi> <mi>K</mi> </mrow> </semantics></math>, allowing data recovery and storage.</p>
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16 pages, 338 KiB  
Article
Efficient Deep Learning-Based Detection Scheme for MIMO Communication Systems
by Roilhi F. Ibarra-Hernández, Francisco R. Castillo-Soria, Carlos A. Gutiérrez, José Alberto Del-Puerto-Flores, Jesus Acosta-Elias, Viktor I. Rodriguez-Abdala and Leonardo Palacios-Luengas
Sensors 2025, 25(3), 669; https://doi.org/10.3390/s25030669 - 23 Jan 2025
Viewed by 1021
Abstract
Multiple input-multiple output (MIMO) is a key enabling technology for the next generation of wireless communication systems. However, one of the main challenges in the implementation of MIMO system is the complexity of the detectors when the number of antennas increases. This aspect [...] Read more.
Multiple input-multiple output (MIMO) is a key enabling technology for the next generation of wireless communication systems. However, one of the main challenges in the implementation of MIMO system is the complexity of the detectors when the number of antennas increases. This aspect will be crucial in the implementation of future massive MIMO systems. A flexible design can offer a convenient tradeoff between detection complexity and bit error rate (BER). Deep learning (DL) has emerged as an efficient method for solving optimization problems in different areas. In MIMO communication systems, neural networks can provide efficient and innovative solutions. This paper presents an efficient DL-based signal detection strategy for MIMO communication systems. More specifically, a preprocessing stage is added to label the input signals. The labeling scheme provides more information about the transmitted symbols for better training. Based on this strategy, two novel schemes are proposed and evaluated considering BER performance and detection complexity. The performance of the proposed schemes is compared with the conventional one-hot (OH) scheme and the optimal maximum likelihood (ML) criterion. The results show that the proposed OH per antenna (OHA) and direct symbol encoding (DSE) schemes reach a classification performance F1-score of 0.97. Both schemes present a lower complexity compared with the conventional OH and the ML schemes, used as references. On the other hand, the OHA and DSE schemes have losses of less than 1 dB and 2 dB in BER performance, respectively, compared to the OH scheme. The proposed strategy can be applied to adaptive systems where computational resources are limited. Full article
(This article belongs to the Section Communications)
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<p>Proposed DL-based detection scheme for MIMO communication systems.</p>
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<p>NMSE loss curves vs the number of epochs during the training phase for the MIMO <math display="inline"><semantics> <mrow> <mn>2</mn> <mo>×</mo> <mn>2</mn> </mrow> </semantics></math> (<b>left</b>) and <math display="inline"><semantics> <mrow> <mn>4</mn> <mo>×</mo> <mn>4</mn> </mrow> </semantics></math> (<b>right</b>) DL-based detection configurations. The dashed lines indicate the NMSE values for the test or validation subsets, while the solid lines are the NMSE values for the training subset.</p>
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<p>BER performance of the detectors for the analyzed MIMO detection schemes with <math display="inline"><semantics> <mrow> <msub> <mi>N</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>2</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi>N</mi> <mi>r</mi> </msub> <mo>=</mo> <mn>2</mn> </mrow> </semantics></math> antennas. The optimal ML detector and DL–based detectors with the OH, the OHA, and the DSE of symbol labeling strategies are applied.</p>
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<p>BER performance of the detectors for the analyzed MIMO detection schemes with <math display="inline"><semantics> <mrow> <msub> <mi>N</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>4</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi>N</mi> <mi>r</mi> </msub> <mo>=</mo> <mn>4</mn> </mrow> </semantics></math> antennas. The optimal ML detector and DL–based detectors with the OH, the OHA, and the DSE labeling strategies are applied.</p>
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<p>Complexity in flops for the developed DL-detectors. The labeling strategies acronyms are ML: maximum likelihood, OH: one-hot encoding, OHA: one-hot encoding per antenna, SE: symbol encoding.</p>
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17 pages, 7170 KiB  
Article
Additively Manufactured Three-Dimensional Microstrip Balun for Wearable Applications
by Allyanna Rice and Asimina Kiourti
Electronics 2025, 14(3), 432; https://doi.org/10.3390/electronics14030432 - 22 Jan 2025
Viewed by 557
Abstract
We present a three-dimensional, additively manufactured microstrip balun design for the balanced feeding of wearable antennas. Extensive research has been performed regarding wearable antennas, but the balun design is often ignored. The balun may be omitted, a commercial off-the-shelf balun may be used, [...] Read more.
We present a three-dimensional, additively manufactured microstrip balun design for the balanced feeding of wearable antennas. Extensive research has been performed regarding wearable antennas, but the balun design is often ignored. The balun may be omitted, a commercial off-the-shelf balun may be used, or a bulky microstrip balun may be implemented; however, these options are either incorrect or add a significant size to the antenna that is not acceptable for wearable applications. We propose a three-dimensional, conformal microstrip balun enabled by additive manufacturing (AM) technology, and demonstrate its performance using the wearable High-Contrast Low-Loss Antenna (HCLA) as an example. First, the electromagnetic properties of potential substrate materials are characterized from 0.5 to 3 GHz. Exponential tapered baluns are designed, simulated, and tested in a back-to-back configuration to verify the measured material properties for the substrates. Then, the baluns are integrated with the HCLA using a conformal configuration. The measurement results from 0.5 to 3 GHz on the phantoms agree with the simulation for both the reflection coefficient and transmission loss. Importantly, the proposed balun allows the antenna to be used in wearable applications, where balun size would have previously hindered its implementation. The flexibility of the proposed design also allows for the integration with other antennas aside from the HCLA. Full article
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<p>(<b>a</b>) Perpendicular and (<b>b</b>) conformal orientation for integrating the microstrip-to-parallel-strip-line balun with the HCLA.</p>
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<p>Flowchart demonstrating the methodology for this research.</p>
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<p>Measured (<b>a</b>) relative permittivity (ε<sub>r</sub>) and (<b>b</b>) loss tangent (tanδ) of various substrate materials.</p>
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<p>Simulated layout of the back-to-back tapered balun.</p>
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<p>Simulated (<b>a</b>) reflection coefficient and (<b>b</b>) transmission coefficient of the back-to-back balun with various substrates.</p>
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<p>Fabrication process for the back-to-back baluns with 3D-printed substrates.</p>
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<p>Simulated vs. measured transmission coefficient of the fabricated back-to-back balun with various substrates.</p>
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<p>Simulated vs. measured reflection coefficient of the fabricated PDMS and Clear back-to-back baluns.</p>
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<p>Simulated electric field patterns of the HCLA at 3 GHz with the integrated (<b>a</b>) perpendicular and (<b>b</b>) conformal baluns.</p>
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<p>Simulated reflection and transmission coefficient for the Clear balun integrated with the antenna in the conformal (solid lines) and the perpendicular (dashed lines) orientations.</p>
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<p>Fabricated HCLA integrated with the Clear resin balun.</p>
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<p>Experimental setup with the PDMS balun integrated with the HCLA on two-thirds muscle phantom (ground beef).</p>
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<p>Simulated vs. measured reflection coefficient of the fabricated antenna with the PDMS and Clear baluns.</p>
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<p>The (<b>a</b>) simulation setup of the HCLA with different airgap heights between the balun substrate, antenna dielectric, and ground beef phantom and (<b>b</b>) the simulated vs. measured reflection coefficient results.</p>
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<p>Simulated vs. measured transmission coefficient of the fabricated antenna with the PDMS and Clear baluns.</p>
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<p>Simulated transmission loss of the HCLA to a 2.4 GHz implantable antenna.</p>
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25 pages, 15082 KiB  
Article
A Sub-6GHz Two-Port Crescent MIMO Array Antenna for 5G Applications
by Heba Ahmed, Allam M. Ameen, Ahmed Magdy, Ahmed Nasser and Mohammed Abo-Zahhad
Electronics 2025, 14(3), 411; https://doi.org/10.3390/electronics14030411 - 21 Jan 2025
Viewed by 656
Abstract
The fifth generation of wireless communication (5G) technology is becoming more innovative with the increasing need for high data rates because of the incremental rapidity of mobile data growth. In 5G systems, enhancing device-to-device communication, ultra-low latency (1 ms), outstanding dependability, significant flexibility, [...] Read more.
The fifth generation of wireless communication (5G) technology is becoming more innovative with the increasing need for high data rates because of the incremental rapidity of mobile data growth. In 5G systems, enhancing device-to-device communication, ultra-low latency (1 ms), outstanding dependability, significant flexibility, and data throughput (up to 20 Gbps) is considered one of the most essential factors for wireless networks. To meet these objectives, a sub-6 5G wideband multiple-input multiple-output (MIMO) array microstrip antenna for 5G Worldwide Interoperability for Microwave Access (WiMAX) applications on hotspot devices has been proposed in this research. The 1 × 4 MIMO array radiating element antenna with a partial ground proposed in this research complies with the 5G application standard set out by the Federal Communications Commission. The planned antenna configuration consists of a hollow, regular circular stub patch antenna shaped like a crescent with a rectangular defect at the top of the patch. The suggested structure is mounted on an FR-4 substrate with a thickness “h” of 1.6, a permittivity “εr” of 4.4, and a tangential loss of 0.02. The proposed antenna achieves a high radiation gain and offers a frequency spectrum bandwidth of 3.01 GHz to 6.5 GHz, covering two 5G resonant frequencies “fr” of 3.5 and 5.8 GHz as the mid-band, which yields a gain of 7.66 dBi and 7.84 dBi, respectively. MIMO antenna parameters are examined and introduced to assess the system’s performance. Beneficial results are obtained, with the channel capacity loss (CCL) tending to 0.2 bit/s/Hz throughout the operating frequency band, the envelope correlation coefficient (ECC) yielding 0.02, a mean effective gain (MEG) of less than −6 dB over the operating frequency band, and a total active reflection coefficient (TARC) of less than −10 dB; the radiation efficiency is equal to 71.5%, maintaining impedance matching as well as good mutual coupling among the adjacent parameters. The suggested antenna has been implemented and experimentally tested using the 5G system Open Air Interface (OAI) platform, which operates at sub-6 GHz, yielding −67 dBm for the received signal strength indicator (RSSI), and superior frequency stability, precision, and reproducibility for the signal-to-interference-plus-noise ratio (SINR) and a high level of positivity in the power headroom report (PHR) 5G system performance report, confirming its operational effectiveness in 5G WiMAX (Worldwide Interoperability for Microwave Access) application. Full article
(This article belongs to the Section Microwave and Wireless Communications)
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<p>The single-antenna element structure: (<b>a</b>) top view and (<b>b</b>) back view.</p>
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<p>The simulation S11 of the single-antenna element.</p>
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<p>The simulation gain of the single-antenna element.</p>
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<p>The single-antenna element’s E-plane radiation pattern: (<b>a</b>) 3.5 GHz and (<b>b</b>) 5.8 GHz.</p>
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<p>Antenna evolution for the (<b>a</b>) 1st iteration, (<b>b</b>) 2nd iteration, (<b>c</b>) 3rd iteration, (<b>d</b>) 4th iteration, and (<b>e</b>) 5th iteration.</p>
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<p>The five iterations of the proposed design’s reflection coefficient, S11.</p>
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<p>A parametric analysis of S11 with varying dimensions in (<b>a</b>) Wc, (<b>b</b>) Lc, (<b>c</b>) r2, and (<b>d</b>) t.</p>
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<p>The proposed 1 × 2 array antenna structure design: (<b>a</b>) top view and (<b>b</b>) back view.</p>
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<p>S11 reflection coefficient of the 1 × 2 array antenna.</p>
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<p>Gain of the 1 × 2 array-antenna.</p>
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<p>The E-plane radiation pattern of the 1 × 2 array antenna: (<b>a</b>) 3.5 GHz and (<b>b</b>) 5.8 GHz.</p>
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<p>The 1 × 4 array antenna structure of the proposed design: (<b>a</b>) top view and (<b>b</b>) back view.</p>
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<p>The S11 of the 1 × 4 array antenna.</p>
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<p>The gain of the 1 × 4 array antenna.</p>
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<p>The E-plane radiation pattern of the 1 × 4 array antenna at (<b>a</b>) 3.5 GHz and (<b>b</b>) 5.8 GHz.</p>
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<p>The complete structure of the proposed MIMO array antenna: (<b>a</b>) top view and (<b>b</b>) back view.</p>
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<p>MIMO antenna structure: (<b>a</b>) S11, S22, and (<b>b</b>) S12, S21.</p>
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<p>The E-plane radiation pattern of the proposed MIMO antenna at (<b>a</b>) 3.5 GHz and (<b>b</b>) 5.8 GHz.</p>
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<p>Simulation gain over a frequency range of the MIMO antenna.</p>
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<p>The fabricated MIMO array antenna: (<b>a</b>) a top view and (<b>b</b>) back view.</p>
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<p>MIMO array antenna: setup of radiation pattern and gain over frequency.</p>
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<p>A comparison between the simulation and measured reflection coefficient of the proposed antenna: (<b>a</b>) S11, (<b>b</b>) S22 and transmission coefficient, (<b>c</b>) S12, and (<b>d</b>) S21.</p>
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<p>A comparison between the simulation and measured E-plane radiation pattern at (<b>a</b>) 3.5 GHz and (<b>b</b>) 5.8 GHz.</p>
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<p>A comparison between the simulation and measured gain.</p>
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<p>A comparison between the simulation and measured MIMO parameters: (<b>a</b>) ECC, (<b>b</b>) DG, (<b>c</b>) CCL, (<b>d</b>) MEG, and (<b>e</b>) TARC.</p>
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<p>Proposed MIMO array antenna implementation on a 5G system.</p>
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<p>A comparison between the implemented proposed MIMO array and dipole antenna: (<b>a</b>) RSS, (<b>b</b>) SINR, and (<b>c</b>) PHR.</p>
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28 pages, 3733 KiB  
Article
Strengthening Road Safety and Mobility at the Urban Level with the Aim of Digitizing and Shaping Smart Cities Through Emerging Vehicular Communications C-V2X, DSRC, and VLC
by Eduard Zadobrischi, Cătălin-Marius Beguni and Alin-Mihai Căilean
Electronics 2025, 14(2), 360; https://doi.org/10.3390/electronics14020360 - 17 Jan 2025
Viewed by 682
Abstract
The simulation results presented based on the proposed system demonstrated significant improvements in communication reliability, packet loss reduction and signal stability, highlighting its superiority in real urban traffic conditions. Using the IEEE 802.11p standard and a modular dual-antenna architecture, the system maintained a [...] Read more.
The simulation results presented based on the proposed system demonstrated significant improvements in communication reliability, packet loss reduction and signal stability, highlighting its superiority in real urban traffic conditions. Using the IEEE 802.11p standard and a modular dual-antenna architecture, the system maintained a latency below 10 ms over distances of over 3 km, without noticeable signal loss. GNSS synchronization ensured precise vehicle positioning and dynamic signal optimization. There are results and approaches that highlight the limitations of IEEE 802.11p in dense traffic scenarios; the current approach has reduced packet loss to below 5%. Its integration also allows compatibility with future technologies such as 5G and C-V2X, guaranteeing scalability and long-term relevance. The proposed prototype sets a new standard in vehicular communications, combining high performance with a flexible and extensible architecture, making it a viable solution for large-scale deployments in smart cities, supporting the transition to safer and more sustainable transportation infrastructures. Full article
(This article belongs to the Special Issue Future Communication Networks and Systems for Smart Cities)
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<p>The framework format on OSI layer 2 of the 802.11p communications standard.</p>
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<p>Communication architecture of OBU control unit Mk5 system—DSRC.</p>
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<p>Areas analyzed and road sections used in the assessment of traffic conditions.</p>
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<p>An illustrative graph showing the variation in the traffic patterns between zones, with Zone 4 recording the highest peak during the evening (5 p.m.).</p>
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<p>A diagram of the design of the 802.11p urban communications prototype.</p>
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<p>V2V/V2I scenario cooperative data collection and transmission system.</p>
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<p>Graphical representation for Zone 1 showing information on distances or loss values of data packets in relation to measurement distances.</p>
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<p>Graphical representation for Zone 2 showing information on distances or loss values of data packets in relation to measurement distances.</p>
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<p>Graphical representation for Zone 3 showing information on distances or loss values of data packets in relation to measurement distances.</p>
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<p>Graphical representation for Zone 4 showing information on distances or loss values of data packets in relation to measurement distances.</p>
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18 pages, 3238 KiB  
Article
Multilayer Printed Circuit Board Design Based on Copper Paste Sintering Technology for Satellite Communication Receiving Phased Array
by Sicheng Sun, Yijiu Zhao, Sitao Mei, Naixin Zhou and Yongling Ban
Electronics 2025, 14(2), 322; https://doi.org/10.3390/electronics14020322 - 15 Jan 2025
Viewed by 599
Abstract
A 2048-element dual-polarized receive (RX) phased array for Ku-band (10.7–12.7 GHz) satellite communication (SATCOM) is presented in this paper. The design of the multilayer printed circuit board (PCB) it uses adopts a novel copper paste sintering interconnection technology that allows for [...] Read more.
A 2048-element dual-polarized receive (RX) phased array for Ku-band (10.7–12.7 GHz) satellite communication (SATCOM) is presented in this paper. The design of the multilayer printed circuit board (PCB) it uses adopts a novel copper paste sintering interconnection technology that allows for more flexibility in the design of vias and can reduce the PCB’s lamination number. This technology is more suitable for manufacturing multilayer and complex PCBs than traditional processes. The array is designed to consist of sixteen 8 × 16 element subarrays, each based on the silicon RX beamformer and multilayer PCB. Dual-polarized antenna elements are arranged in a regular rectangle with a spacing of 0.5 for a wavelength of 12.7 GHz, thus achieving a scanning range of ±70° in all planes. By adjusting the amplitude and phase of two line polarizations with cross-polarization levels better than −25 dB at boresight, the array can generate linear or circular polarization. Moreover, the antenna gain-to-noise temperature is above 12 dB/K (Tant = 20 K) at boresight. The aperture of the 2048-element RX phased array is 768 × 450 mm. With its low profile, the array is appropriate for usage in Ku-band SATCOM terminals. Full article
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<p>Typical quasi-coaxial interconnect structures to be modeled with analytical equation-based methodologies. (<b>a</b>) Top view. (<b>b</b>) Side view.</p>
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<p>Equivalent <math display="inline"><semantics> <mi>π</mi> </semantics></math>-type circuit model of the quasi-coaxial with lumped parameters.</p>
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<p>Quasi-coaxial structure with a copper stub in the PCB. (<b>a</b>) PCB stackup. (<b>b</b>) Equivalent <math display="inline"><semantics> <mi>π</mi> </semantics></math> type circuit model.</p>
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<p>LC circuits for impedance matching between the stripline and signal via. (<b>a</b>) Impedance matching structure. (<b>b</b>) Equivalent <math display="inline"><semantics> <mi>π</mi> </semantics></math> type circuit model.</p>
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<p>Common cases of interconnection using copper paste sintering technology.</p>
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<p>2048-element RX phased array for <math display="inline"><semantics> <mrow> <mi>K</mi> <mi>u</mi> </mrow> </semantics></math>-band SATCOM with 16 subarrays.</p>
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<p>Detailed architecture of the subarray.</p>
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<p>2 × 2 antenna cell based on 8-channel RX beamformer chip.</p>
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<p>Multilayer PCB stackup of the subarray. Units: mm.</p>
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<p>Structure of the proposed dual–polarized antenna element. Units: mm.</p>
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<p>Simulated return losses of the antenna from the chip ports for the V– and H–polarization. (<b>a</b>) Azimuth plane. (<b>b</b>) Elevation plane.</p>
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<p>Simulated co– and cross–polarization level of the antenna for the V– and H–polarization. (<b>a</b>) Azimuth plane. (<b>b</b>) Elevation plane.</p>
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<p>Simulated co– and cross–polarization level of the antenna for the V– and H–polarization. (<b>a</b>) Azimuth plane. (<b>b</b>) Elevation plane.</p>
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<p>Equivalent RX chain of the 2048-element array.</p>
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<p>(<b>a</b>) Top view showing the antenna elements on a subarray. (<b>b</b>) Back view showing surface-mounted chips on a subarray. (<b>c</b>) Photograph of the fabricated RX phased array. (<b>d</b>) Experimental setup for measurement in an anechoic chamber.</p>
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<p>Residual errors after calibration of the array (<b>a</b>) Amplitude. (<b>b</b>) Phase. (Different colors represent different subarrays).</p>
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<p>Measured scanning patterns at 11.7 GHz for the V− and H− polarizations. (<b>a</b>) Azimuth plane. (<b>b</b>) Elevation plane.</p>
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<p>Measured axial ratio (AR) values of the array over (<b>a</b>) different frequencies at boresight, and (<b>b</b>) different scanning angles at 11.7 GHz.</p>
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<p>Measured G/T values of the array over (<b>a</b>) different frequencies at boresight, and (<b>b</b>) different scanning angles at 11.7 GHz.</p>
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