- Blind Source Separation Techniques
- Advanced Wireless Communication Techniques
- Cognitive Radio Networks and Spectrum Sensing
- Wireless Communication Networks Research
- Full-Duplex Wireless Communications
- Coding theory and cryptography
- Sparse and Compressive Sensing Techniques
- Error Correcting Code Techniques
- Power Line Communications and Noise
- Distributed Sensor Networks and Detection Algorithms
- Wireless Signal Modulation Classification
- IoT Networks and Protocols
- Image and Signal Denoising Methods
- Algorithms and Data Compression
- Radar Systems and Signal Processing
- Quantum-Dot Cellular Automata
- Wireless Communication Security Techniques
- Bluetooth and Wireless Communication Technologies
- Advanced Wireless Communication Technologies
- Advanced Adaptive Filtering Techniques
- Quantum Computing Algorithms and Architecture
- Energy Harvesting in Wireless Networks
- PAPR reduction in OFDM
- Wireless Body Area Networks
- Quantum Information and Cryptography
Université de Bretagne Occidentale
2014-2024
Centre National de la Recherche Scientifique
2011-2024
Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance
2011-2024
ORCID
2020
Université Européenne de Bretagne
2009-2015
Technical University of Cluj-Napoca
2014
Laboratoire de Mathématiques de Bretagne Atlantique
2011
Abstract In order to enhance the reliability of digital transmissions, error correcting codes are used in every communication system. To meet new constraints data rate or reliability, coding schemes currently being developed. Therefore, systems perpetual evolution and it is becoming very difficult remain compatible with all standards used. A cognitive radio system seems provide an interesting solution this problem: conception intelligent receiver able adapt itself a specific transmission...
Cognitive radio (CR) was proposed as a solution to the spectrum scarcity problem. One of basic functions any CR is sensing. Most existing works on sensing consider Gaussian noise assumption. In practice, this assumption not always valid since several types exhibit non-Gaussian and impulsive behavior. Hence, it very beneficial study in presence noise. paper, we propose two new multiple-antenna-based methods, assuming that underlying follows symmetric α-stable distribution. This justified by...
The use of channel code is mandatory in current digital communication systems. It allows us to access the information on receiver side despite presence noise. In this paper, we are interested blind identification parameters an error correcting from a received noisy data stream. literature provides large amount contributions for problem hard-decision case but few soft-decision case. well known that methods allow significant gain decoding techniques. Thence, propose algorithm which able...
Digital communication systems are in perpetual evolution order to respond the new user expectations and applications transmissions constraints, term of data rate or reliability. With this fast development standards, it becomes very difficult for users also communications devices producers, stay compatible with all standards used oncoming ones. For that reason, cognitive radio seem provide an interesting solution problem. The conception intelligent receiver able adapt itself a specific...
To enhance the quality of transmissions, all digital communication systems use error-correcting codes. By introducing some redundancy in informative binary data stream, they allow one to better withstand channel impairments. The design new coding schemes leads a perpetual evolution and, thus, cognitive radio receivers have be designed. Such will able blind estimate transmitter parameters. In this study, an algebraic method dedicated identification punctured convolutional encoders is...
This article presents a semianalytical approximation of symbol error rate (SER) for the well known long-range (LoRa) Internet Things (IoT) modulation scheme in following two scenarios: 1) multipath frequency selective fading channel with additive white Gaussian noise (AWGN) and 2) presence second interfering LoRa user flat-fading AWGN channel. Performances both coherent noncoherent cases are derived by considering common discrete Fourier transform (DFT)-based detector on received waveform....
Abstract In cognitive radio context, the parameters of coding schemes are unknown at receiver. The design an intelligent receiver is then essential to blindly identify these from received data. blind identification code word length has already been extensively studied in case binary error-correcting codes. Here, we interested non-binary codes where a noisy transmission environment considered. To deal with problem length, propose technique based on Gauss-Jordan elimination GF( q ) (Galois...
In most digital communication systems, error correcting codes are essential to achieve good immunity channel impairment. Due the complexity of encoding process, but especially decoding research on is restricted binary data which elements Galois field GF(2). Reed Solomon have been commonly used so far as non-binary (GF(q)) codes. Recently, low algorithms for LDPC and turbo-codes developed. this paper, design convolutional over field, with cardinal 2 <sup...
Blind sequences estimation methods, which work without prior knowledge about the transmitter, have been proposed in M.K. Tsatsanis and G.B. Giannakis (1997), G. Burel C. Boulder (2001), (2001); but they are restricted to a single-user context. Here, we extend approach originally (2001) multi-user We developed fast efficient blind synchronization criterion based on behavior of FROBENIUS square norm submatrix that scans intercepted signal correlation matrix. By using eigenanalysis techniques...
For enhancement of the quality digital transmissions, standards are in continual evolution, which generates compatibility problems. Cognitive radio systems permit one to solve this problem through design intelligent receivers. However, such receivers must be able adapt themselves a specific transmission context. This requires development new methods order blindly estimate error-correcting codes. Coding schemes as turbocode, composed convolutional codes, belong family codes use many...
In this paper, we consider the problem of sensing a primary user in cognitive radio network by employing multiple antennas at secondary user. Among many spectrum-sensing methods, predicted eigenvalue threshold (PET) based method is promising non-parametric blind that can reliably detect users without any prior information. Then, simplified PET method, which needs to compare only one its threshold, introduced. Compared with original algorithm, algorithm significantly reduces computational...
In the cognitive radio field, receiver should be able to perform a blind identification of encoder parameters used by transmitter from only knowledge received data stream. this context, most methods dedicated error correcting codes are based on rank calculation matrices formed Nevertheless, theoretical behaviour criterion has neither been justified nor demonstrated. paper, we propose an algebraic and study that allows us identify convolutional investigate some dependent properties generate...
The blind interception process of multiple-input multiple-output (MIMO) signals have recently gained more attention. number transmitting antennas is an important information for many MIMO algorithms. In this paper, several algorithms detection the are presented. These different evaluated and a performance comparison Spatial correlation crucial factor practical systems. This paper addresses first time problem in spatially correlated
This paper focuses on non-ideal filters in a Modulated Wideband Converter (MWC) scheme. The MWC is system that can sample sparse wideband signal at sub-Nyquist rate. Generally, the output of ideal components will ensure perfect reconstruction. In practice, reconstruction should be based components, especially filters. impact trigger to bad this paper, detailed study lowpass imperfection used compressed sensing scheme synthesized. A digital post-treatment with amplitude and phase compensation...
This paper deals with the problem of blind multiuser detection in multirate direct-sequence code division multiple access (DS-CDMA). Direct-sequence spread spectrum (DSSS) signals are well-known for their low probability interception: statistics similar to those a noise; furthermore, they usually transmitted below noise level. Here, method based on fluctuations autocorrelation estimators, previously described single user context, is extended multiusers. From variable spreading length...
The Modulated Wideband Converter (MWC) is a blind sub-Nyquist sampling system used especially to monitor wideband spectrum. This can be realized by existing analog components. From theoretical point of view, all components are assumed ideal. However, this hypothesis false in practice. Indeed, some imperfections introduced such as nonlinearities mixers, phase/attenuation/selectivity low-pass filters and desynchronization between modulating waveforms. Consequently, it necessary correctly...
This paper presents a novel LoRa (Long Range) receiver operating in frequency selective Multi-Path Channel (MPC). The dechirped received wave-forms under MPC allows us to derive simple and efficient scheme by using MF (Matched Filter) approach that aims maximize the SNR (Signal-to-Noise Ratio) at symbol index of DFT output. We show can be seen as RAKE structure where interference peaks related multipath, exhibited output, are recombined constructive way. Detection performance is driven...
We propose a novel approach for drone detection and classification based on RF communication link analysis. Our analyses large signal record including several packets can be decomposed of two successive steps: classification. On one hand, the step is Power Spectral Entropy (PSE), measure energy distribution uniformity in frequency domain. It consists detecting structured such as with lower PSE than noise one. other so-called physical-layer protocol statistical fingerprint (PLSPF). This...
This paper deals with the problem of blind identification p-non Gaussian inputs, q-outputs AR systems in special case where p<q. In this case, is degenerated, therefore as classical Levinson (Robinson) algorithm cannot be applied, we use Inouye's (1983) method. As procedure assumes that model normalized, it necessary to split two parts: first, estimate convolutive mixture by means linear prediction, and second, instantaneous mixture. The first one requires second order moments one, high...
This paper presents an implementation of the Modulated Wideband Converter (MWC) compressed sensing scheme using Commercial Off-The-Shelf (COTS) low-pass filter (SXLP-36+ from Mini-Circuits <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> ) for spectrum surveillance in order to reconstruct a wideband signal at sub-Nyquist rate. From theoretical point view, MWC achieves correct reconstruction only if all analog components are assumed ideal....
In this paper, we consider the problem of sensing a primary user in cognitive radio network by employing multiple-antennas at secondary user. Among many spectrum-sensing methods, predicted eigenvalue threshold (PET) based method is promising non-parametric blind that can reliably detect users without any prior information. Also, simplified PET method, which needs to compare only one its threshold, introduced. A performance comparison between proposed and other existing methods provided....
The paper proposes a joint semi-blind algorithm for simultaneously cancelling the self-interference component and estimating propagation channel in 5G Quasi-Cyclic Low-Density Parity-Check (QC-LDPC)-encoded short-packet Full-Duplex (FD) transmissions. To avoid effect of estimation processes when using transmissions, this was developed by taking into account only small number (four at least) pilot symbols, which integrated with intended information sequence used feedback loop channels....