International Journal of Electronics and Electrical Engineering
Lack of unallocated spectrum and increasing demand for bandwidth in future wireless networks is f... more Lack of unallocated spectrum and increasing demand for bandwidth in future wireless networks is forcing new devices and technologies to share frequency bands. Cognitive Radio (CR) is a key technology allowing users to benefit from the unused licensed spectrum to increase their bandwidth. One of the main challenges to achieve this concept is the spectrum sensing in order to detect unallocated bandwidths. Energy detector is known for its simplicity in hardware implementation with moderate performances compared to other methods in the literature. This paper presents an implementation of the energy detector based on the calculation of the energy in the time-domain and in the frequency-domain. Both methods were first simulated using Matlab and then implemented and tested in real environment using NI-USRP 2901. Implementation results show a good agreement with the simulation results.
2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2020
In this paper, we provide a theoretical analysis on the performance of the famous Gradient-based ... more In this paper, we provide a theoretical analysis on the performance of the famous Gradient-based Tone-Reservation PAPR reduction algorithm. To that end, we study the amplitude statistical distribution of the time domain OFDM signals to which PAPR reduction has been applied. Such distribution is then integrated into a generic EVM expression in order to provide a closed form expression of this latter, which is validated and analyzed through numerical simulations. Thanks to this work, we provide theoretical tools to analytically assess the performance of the Gradient method relatively to the optimal TR algorithm, and hence allow further analysis about the complexity-PAPR reduction efficiency trade-off of TR PAPR reduction algorithms, which could be useful for the optimization of the power efficiency of any multicarrier system.
2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE), 2019
In the context of road defects detection, especially potholes detection, using a 3D LiDAR mounted... more In the context of road defects detection, especially potholes detection, using a 3D LiDAR mounted on a vehicle seems to be an interesting way to provide location and geometric information about the defects. In this paper, an extrinsic calibration method is proposed, to merge all the LiDAR frames in a common reference frame and to define the positioning of the sensor. This method depends mainly on the geometrical ground impact model in order to estimate the LiDAR extrinsic parameters by successive steps algorithm: fitting plane, Euler's angles estimation of rotation, height estimation and parameters optimization. Results are presented in terms of precision and robustness against the LiDAR range accuracy proving the performance of this calibration method.
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
In respect to the main goal of our ongoing work for estimating the heart rate variability (HRV) f... more In respect to the main goal of our ongoing work for estimating the heart rate variability (HRV) from fetal electrocardiogram (FECG) signals for monitoring the health of the fetus, we investigate in this paper the possibility of extracting the fetal heart rate variability (HRV) directly from the abdominal composite recordings. Our proposed approach is based on a combination of two techniques: Periodic Component Analysis (PiCA) and recursive least square (RLS) adaptive filtering. The Fetal HRV of the estimated FECG signal is compared to a reference value extracted from an FECG signal recorded by using a spiral electrode attached directly to the fetal scalp. The results obtained show that the fetal HRV can be directly evaluated from the abdominal composite recordings without the need of recording an external reference signal.
2015 27th International Conference on Microelectronics (ICM), 2015
The problem of image stabilization in videos is important in many applications, including cameras... more The problem of image stabilization in videos is important in many applications, including cameras mounted on vehicles. There are various approaches used for stabilizing the captured videos. This paper explains the subject of digital image stabilization (DIS) and the different steps associated with it. Then three robust DIS techniques are enhanced and developed to stably remove the unwanted shaking phenomena in the image sequences and videos. These methods are the gray-coded bit-plane matching algorithm, feature-based matching algorithm, and target tracking algorithm which is tested as a real-time product.
We propose in this paper an acousto-optic processing unit for a rapicf Doppler resolving in the G... more We propose in this paper an acousto-optic processing unit for a rapicf Doppler resolving in the GPS system. A 1023-point acousto-optic correlator is reviewed and matched to our application through an adequate sampling and time-compressing of the GPS received sequences. Doppler resolving is implemented with a single frequency sweep loop. The systsem potentialities are compared to those of a classical one's. A processing time-gain up to 1000 is obtained.
The bichromatic tunable acoustooptic separator presented in this paper allows to extract two mono... more The bichromatic tunable acoustooptic separator presented in this paper allows to extract two monochromatic radiations from a multiwavelength laser beam with a high spectral resolution, a great angular separation and independently adjustable efficiencies. The Paratellurite crystal is used as the interaction medium.
The International Journal on Communications Antenna and Propagation, 2013
This paper introduces the basics of environmental or non-speech sound recognition by presenting d... more This paper introduces the basics of environmental or non-speech sound recognition by presenting data-preprocessing, feature extraction and classification techniques used in sound recognition systems. A new method easily implemented on embedded digital signal processors, based on Hidden Markov Models HMM and applied to glass break sounds is presented. Data preprocessing includes analog to digital converting, sampling and anti-aliasing filtering. Features extraction includes zero-crossing, envelope function detecting, spectral mean and bank filtering. Classification technique includes vector quantization and HMM. The method's MATLABTM functions are shown. Tests show 88% recognition rate and 7% false alarms.
2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
Video streaming and mobile TV services have recently gained great research interest with the adva... more Video streaming and mobile TV services have recently gained great research interest with the advances in mobile hardware technologies and the development of single frequency networks (SFN). However, the analysis of the coverage probability of these services in SFN has been and remains a complicated task due to the specific behavior of the received SFN signal and its effect on the useful signal. In this framework, we propose a new approach to model and evaluate the coverage probability for such network configuration. More particularly, using stochastic geometry, we propose a suitable approximation of the problem based on the closest SFN base stations. The resulted expressions represent a lower bound for the probability of coverage of the SFN. The proposed approximation leads to a good trade-off between accuracy and tractability. Numerical simulation results prove the validity of the proposed approach and related theoretical results, especially in a high path loss environment.
2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
In this paper, we derive the closed form expression of the Error Vector magnitude (EVM) of Orthog... more In this paper, we derive the closed form expression of the Error Vector magnitude (EVM) of Orthogonal Frequency Division Multiplexing (OFDM) signals for optimal Tone Reservation (TR) Peak to Average Power Ratio (PAPR) reduction. This expression is the theoretical lower bound of the EVM that is affordable through TR PAPR reduction. It considers the High Power Amplifier (HPA) non-linearities and memory effects. The provided EVM expression essentially relies on the probability distribution of the time domain amplitude after applying TR algorithm. The proposed methodology consists in first evaluating such distribution, and then integrating it to get the EVM. It has been applied here in the case of the optimal TR PAPR reduction algorithm but can be extended to other TR algorithms given that the time domain amplitude distribution can be extracted. Hence, this paper provides a general analytical framework applicable for any TR algorithm.
2020 43rd International Conference on Telecommunications and Signal Processing (TSP)
In this paper, we consider a relay-aided device-to-device (RA-D2D) communication link operating w... more In this paper, we consider a relay-aided device-to-device (RA-D2D) communication link operating within a cellular network. The underlay mode where the D2D users share the uplink frequency resources of the cellular link is considered. An optimal algorithm for allocating the appropriate D2D transmit powers that maximize the ergodic capacity of the D2D link while ensuring the cellular communication requirements is proposed. The performance of the proposed scheme is then analyzed in terms of the ergodic capacity of the RA-D2D link. The improvement in the spectral efficiency is compared with the half-duplex (HD) and the full-duplex (FD) modes of D2D communications. Results show that the relay-aided system outperforms the HD system and even the FD system above a certain threshold of self-interference.
In addition to the sparsity property of a wireless channel, the channel multipath components are ... more In addition to the sparsity property of a wireless channel, the channel multipath components are modeled as clusters of multirays due to scatterers distributed in the environment. This is a typical channel configuration that future multiple-input multiple-output (MIMO) wireless communication systems will have to cope with. Hence, there is a strong need to design new appropriate channel estimation techniques. A cluster of multirays can be characterized by its mean delay and its delay spreading. In a previous work, we have focused on estimating the mean delays of the different clusters based on a deterministic channel model. For the work to be complete, we propose in this paper to estimate the standard deviation of the delay spreading of each cluster based on a stochastic model, exploiting time delays distribution of the scattered signals.
2017 9th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2017
This paper presents an analytical solution for the ergodic capacity of a cognitive radio (CR) lin... more This paper presents an analytical solution for the ergodic capacity of a cognitive radio (CR) link sharing with a primary link the same spectrum in the multicarrier transmission mode. The spectrum sharing (SS) mode of operation for the CR link is considered. Assuming Rayleigh fading channels, the ergodic capacity of the CR link is derived analytically under two joint average power constraints: an average interference power (AIP) limit at the primary receiver and an average transmit power (ATP) limit at the CR transmitter. The analytical results of the maximal ergodic capacity of the CR link are derived based on an optimal water-filling power allocation in the CR transmitter. These results are validated with numerical simulations. They are also compared, in the single-carrier mode, with previous results obtained with a peak transmit power (PTP) constraint at the CR transmitter.
International Journal of Electronics and Electrical Engineering
Lack of unallocated spectrum and increasing demand for bandwidth in future wireless networks is f... more Lack of unallocated spectrum and increasing demand for bandwidth in future wireless networks is forcing new devices and technologies to share frequency bands. Cognitive Radio (CR) is a key technology allowing users to benefit from the unused licensed spectrum to increase their bandwidth. One of the main challenges to achieve this concept is the spectrum sensing in order to detect unallocated bandwidths. Energy detector is known for its simplicity in hardware implementation with moderate performances compared to other methods in the literature. This paper presents an implementation of the energy detector based on the calculation of the energy in the time-domain and in the frequency-domain. Both methods were first simulated using Matlab and then implemented and tested in real environment using NI-USRP 2901. Implementation results show a good agreement with the simulation results.
2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2020
In this paper, we provide a theoretical analysis on the performance of the famous Gradient-based ... more In this paper, we provide a theoretical analysis on the performance of the famous Gradient-based Tone-Reservation PAPR reduction algorithm. To that end, we study the amplitude statistical distribution of the time domain OFDM signals to which PAPR reduction has been applied. Such distribution is then integrated into a generic EVM expression in order to provide a closed form expression of this latter, which is validated and analyzed through numerical simulations. Thanks to this work, we provide theoretical tools to analytically assess the performance of the Gradient method relatively to the optimal TR algorithm, and hence allow further analysis about the complexity-PAPR reduction efficiency trade-off of TR PAPR reduction algorithms, which could be useful for the optimization of the power efficiency of any multicarrier system.
2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE), 2019
In the context of road defects detection, especially potholes detection, using a 3D LiDAR mounted... more In the context of road defects detection, especially potholes detection, using a 3D LiDAR mounted on a vehicle seems to be an interesting way to provide location and geometric information about the defects. In this paper, an extrinsic calibration method is proposed, to merge all the LiDAR frames in a common reference frame and to define the positioning of the sensor. This method depends mainly on the geometrical ground impact model in order to estimate the LiDAR extrinsic parameters by successive steps algorithm: fitting plane, Euler's angles estimation of rotation, height estimation and parameters optimization. Results are presented in terms of precision and robustness against the LiDAR range accuracy proving the performance of this calibration method.
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
In respect to the main goal of our ongoing work for estimating the heart rate variability (HRV) f... more In respect to the main goal of our ongoing work for estimating the heart rate variability (HRV) from fetal electrocardiogram (FECG) signals for monitoring the health of the fetus, we investigate in this paper the possibility of extracting the fetal heart rate variability (HRV) directly from the abdominal composite recordings. Our proposed approach is based on a combination of two techniques: Periodic Component Analysis (PiCA) and recursive least square (RLS) adaptive filtering. The Fetal HRV of the estimated FECG signal is compared to a reference value extracted from an FECG signal recorded by using a spiral electrode attached directly to the fetal scalp. The results obtained show that the fetal HRV can be directly evaluated from the abdominal composite recordings without the need of recording an external reference signal.
2015 27th International Conference on Microelectronics (ICM), 2015
The problem of image stabilization in videos is important in many applications, including cameras... more The problem of image stabilization in videos is important in many applications, including cameras mounted on vehicles. There are various approaches used for stabilizing the captured videos. This paper explains the subject of digital image stabilization (DIS) and the different steps associated with it. Then three robust DIS techniques are enhanced and developed to stably remove the unwanted shaking phenomena in the image sequences and videos. These methods are the gray-coded bit-plane matching algorithm, feature-based matching algorithm, and target tracking algorithm which is tested as a real-time product.
We propose in this paper an acousto-optic processing unit for a rapicf Doppler resolving in the G... more We propose in this paper an acousto-optic processing unit for a rapicf Doppler resolving in the GPS system. A 1023-point acousto-optic correlator is reviewed and matched to our application through an adequate sampling and time-compressing of the GPS received sequences. Doppler resolving is implemented with a single frequency sweep loop. The systsem potentialities are compared to those of a classical one's. A processing time-gain up to 1000 is obtained.
The bichromatic tunable acoustooptic separator presented in this paper allows to extract two mono... more The bichromatic tunable acoustooptic separator presented in this paper allows to extract two monochromatic radiations from a multiwavelength laser beam with a high spectral resolution, a great angular separation and independently adjustable efficiencies. The Paratellurite crystal is used as the interaction medium.
The International Journal on Communications Antenna and Propagation, 2013
This paper introduces the basics of environmental or non-speech sound recognition by presenting d... more This paper introduces the basics of environmental or non-speech sound recognition by presenting data-preprocessing, feature extraction and classification techniques used in sound recognition systems. A new method easily implemented on embedded digital signal processors, based on Hidden Markov Models HMM and applied to glass break sounds is presented. Data preprocessing includes analog to digital converting, sampling and anti-aliasing filtering. Features extraction includes zero-crossing, envelope function detecting, spectral mean and bank filtering. Classification technique includes vector quantization and HMM. The method's MATLABTM functions are shown. Tests show 88% recognition rate and 7% false alarms.
2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
Video streaming and mobile TV services have recently gained great research interest with the adva... more Video streaming and mobile TV services have recently gained great research interest with the advances in mobile hardware technologies and the development of single frequency networks (SFN). However, the analysis of the coverage probability of these services in SFN has been and remains a complicated task due to the specific behavior of the received SFN signal and its effect on the useful signal. In this framework, we propose a new approach to model and evaluate the coverage probability for such network configuration. More particularly, using stochastic geometry, we propose a suitable approximation of the problem based on the closest SFN base stations. The resulted expressions represent a lower bound for the probability of coverage of the SFN. The proposed approximation leads to a good trade-off between accuracy and tractability. Numerical simulation results prove the validity of the proposed approach and related theoretical results, especially in a high path loss environment.
2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
In this paper, we derive the closed form expression of the Error Vector magnitude (EVM) of Orthog... more In this paper, we derive the closed form expression of the Error Vector magnitude (EVM) of Orthogonal Frequency Division Multiplexing (OFDM) signals for optimal Tone Reservation (TR) Peak to Average Power Ratio (PAPR) reduction. This expression is the theoretical lower bound of the EVM that is affordable through TR PAPR reduction. It considers the High Power Amplifier (HPA) non-linearities and memory effects. The provided EVM expression essentially relies on the probability distribution of the time domain amplitude after applying TR algorithm. The proposed methodology consists in first evaluating such distribution, and then integrating it to get the EVM. It has been applied here in the case of the optimal TR PAPR reduction algorithm but can be extended to other TR algorithms given that the time domain amplitude distribution can be extracted. Hence, this paper provides a general analytical framework applicable for any TR algorithm.
2020 43rd International Conference on Telecommunications and Signal Processing (TSP)
In this paper, we consider a relay-aided device-to-device (RA-D2D) communication link operating w... more In this paper, we consider a relay-aided device-to-device (RA-D2D) communication link operating within a cellular network. The underlay mode where the D2D users share the uplink frequency resources of the cellular link is considered. An optimal algorithm for allocating the appropriate D2D transmit powers that maximize the ergodic capacity of the D2D link while ensuring the cellular communication requirements is proposed. The performance of the proposed scheme is then analyzed in terms of the ergodic capacity of the RA-D2D link. The improvement in the spectral efficiency is compared with the half-duplex (HD) and the full-duplex (FD) modes of D2D communications. Results show that the relay-aided system outperforms the HD system and even the FD system above a certain threshold of self-interference.
In addition to the sparsity property of a wireless channel, the channel multipath components are ... more In addition to the sparsity property of a wireless channel, the channel multipath components are modeled as clusters of multirays due to scatterers distributed in the environment. This is a typical channel configuration that future multiple-input multiple-output (MIMO) wireless communication systems will have to cope with. Hence, there is a strong need to design new appropriate channel estimation techniques. A cluster of multirays can be characterized by its mean delay and its delay spreading. In a previous work, we have focused on estimating the mean delays of the different clusters based on a deterministic channel model. For the work to be complete, we propose in this paper to estimate the standard deviation of the delay spreading of each cluster based on a stochastic model, exploiting time delays distribution of the scattered signals.
2017 9th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2017
This paper presents an analytical solution for the ergodic capacity of a cognitive radio (CR) lin... more This paper presents an analytical solution for the ergodic capacity of a cognitive radio (CR) link sharing with a primary link the same spectrum in the multicarrier transmission mode. The spectrum sharing (SS) mode of operation for the CR link is considered. Assuming Rayleigh fading channels, the ergodic capacity of the CR link is derived analytically under two joint average power constraints: an average interference power (AIP) limit at the primary receiver and an average transmit power (ATP) limit at the CR transmitter. The analytical results of the maximal ergodic capacity of the CR link are derived based on an optimal water-filling power allocation in the CR transmitter. These results are validated with numerical simulations. They are also compared, in the single-carrier mode, with previous results obtained with a peak transmit power (PTP) constraint at the CR transmitter.
Uploads
Papers by Oussama Bazzi