Fiber Optic Sensing Signal Monitoring System Based on FPGA
Pages 482 - 490
Abstract
At present, the phase monitoring method of optical fiber sensor signal cannot meet the practical application requirements of optical fiber communication. This paper proposes an optical fiber sensor signal monitoring system based on FPGA to solve the problems such as the phase adjustment accuracy of optical fiber sensor. This system takes FPGA BQR7VX690T as the core master, and uses FFT to transform the spatial frequency domain signal of the signal, so as to achieve the sampling signal processing in the frequency domain. Aiming at the phase difference of different optical fiber signals, this paper designs CORDIC algorithm to realize the frequency domain data processing. It can realize the parallel processing of four groups of signals within 1ms of system processing time, identify the phase difference of signals of 1 ° and above, and make the phase difference of output signals within 1 °, so as to achieve the effect of real-time and rapid correction of signals. The system uses DDR3 controller IP to realize DDR3 read/write control, and obtains the corrected signal in the time domain for the signal buffer delay, and communicates with the host computer through the serial port, so as to achieve the final system optical fiber sampling data waveform display phase adjustment.
References
[1]
Fan Jiming, Lu Jinhong. In depth analysis of FPGA. Beijing: Beijing University of Aeronautics and Astronautics Press, 2015: 205-223
[2]
Liang Yu, Sun Wenchao, Zhang Wei. Hardware design of a fast Fourier transform based on serial butterfly element [J]. Journal of Nankai University (Natural Science Edition), 2021,54 (05): 48-52
[3]
Wangwang Dai. Parallel 16-point FFT Based on Real-time Spectrum Analysis System and Its FPGA Implementation[J]. World Scientific Research Journal,2022,8(3).
[4]
Liang Rui. Design of Pulse Radar Signal Calibrator Based on FPGA [J]. Electronic Design Engineering, 2020 (6): 90-92
[5]
Man Jiangang Research on Fast Fourier Transform System of Doppler Signal Based on FPGA [D] Dalian University of Technology, 2021. 2021.001642
[6]
Chandra Inguva Sharath,Seventiline J.B. Implementation of FPGA design of FFT architecture based on CORDIC algorithm[J]. International Journal of Electronics,2021,108(11).
[7]
Liu Aolin, Huang Songren. Design and optimization of arctangent function IP core based on CORDIC algorithm [J] China Integrated Circuit, 2022,31 (05): 32-36
[8]
Kong Lingjia. Design of FFT chip based on an improved CORDIC algorithm [J] Electronic Technology and Software Engineering, 2022 (07): 144-147
[9]
Liu Heng, Zhong Jun, Liu Hui. Modulus calculation and optimization design based on CORDIC algorithm [J] Journal of Longyan University, 2021,39 (05): 78-83.
[10]
Wang Qiang, Ying Hao. CORDIC algorithm of arctangent function and its FPGA implementation [J]. Military Automation, 2020, 39 (06): 45-48
[11]
Chandra Inguva Sharath,Seventiline J.B. Implementation of FPGA design of FFT architecture based on CORDIC algorithm[J]. International Journal of Electronics,2021,108(11).
[12]
Leng Congyang. Design of phase detection system based on PFGA [J] Modern Information Technology, 2021,5 (19): 60-62+66.
[13]
Sánchez, Rancés Sánchez,Piqueira, José Roberto Castilho,Bueno, Átila Madureira. Comparing phase detectors in analog Phase-Locked Loops[J]. The European Physical Journal Special Topics,2021,230(18-20).
[14]
Li Jinfeng, Huang Weiran, Zhao Yutong, Guo Jinnan Optimization and Implementation of DDR3 SDRAM High Speed Memory Access Controller Based on Kintex-7 FPGA [J] Modern Electronic Technology, 2021,44 (20): 112-116. 1004-373x. 2021.20.023.
[15]
Ding Hui, Zhang Huixin, Pang Junqi. Design of high-speed and high-capacity data buffer unit based on FPGA [J]. Instrument Technology and Sensors, 2021 (06): 58-61.
Recommendations
Development of 3GHz Analog Fiber Optic Link for Ultra-fast Signal Transmission
ICICEE '12: Proceedings of the 2012 International Conference on Industrial Control and Electronics EngineeringA broad bandwidth analog fiber optic link is developed for ultra-fast signal transmission under the circumstance with complicated electromagnetic fields. The electrical ultra-fast signal is converted to optical ones by electro-optic conversion method ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
November 2022
739 pages
ISBN:9781450396806
DOI:10.1145/3582935
Copyright © 2022 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 April 2023
Check for updates
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICITEE 2022
ICITEE 2022: 5th International Conference on Information Technologies and Electrical Engineering
November 4 - 6, 2022
Changsha, China
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 29Total Downloads
- Downloads (Last 12 months)16
- Downloads (Last 6 weeks)1
Reflects downloads up to 19 Nov 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format