Jean-Pierre Dubois

LS-SVM detector for RMSGC diversity in SIMO channels

Support vector machine (SVM) is a statistical learning tool developed to a more complex concept of structural risk minimization. SVM is playing an increasing role in applications to detection problems in statistical signal processing and communication systems. In this paper, SVM is applied to the detection of root-mean-square-gain combining (RMSGC) diversity signals in single-input-multiple-output (SIMO) systems, in the presence of channel noise characterized as partially developed Rician multipath fading and interference noise generalized as additive color Gaussian noise (ACGN). The structure and performance of SVM in terms of the bit error rate (BER) metric is analysed for these advanced stochastic noise models. The performance of SVM is then compared to conventional SIMO signaling with optimal model-based detection. We show that the SVM performance is superior to that of the maximum likelihood detector for all the selected pre-detection diversity gain combining schemes.

Performance of UWB system in a partially developed fading channel with CCI

Ultra Wideband technology (UWB) is an emerging technology that has proven to be quite suitable for short range applications. This paper is part of an ongoing research for using UWB technology for positioning team-sport players on a playground, Simulation is conducted for a number of “players” who are carrying RFIDs transmitting signals with biométrie information data about each player to a number of receiving antennas positioned around the field We investigate the effect of multiple access interference (MAI) on the performance of UWB wireless systems using a novel partially developed fading channel and a novel SIMO diversity combining scheme The main goal is to determine the number of interferers that the system can handle before producing an unacceptable Quality of Service (QoS). The results showed that, due to UWB low power spectral density characteristics, the system can handle a relatively large number of interferers.

FPGA Implementation of a Novel Receiver Diversity Combining Technique for Wireless SIMO Systems

In this paper, we study FPGA implementation of a novel receiver diversity combining technique, RMSGC for wireless transmission over fading channels in SIMO systems. Prior published results using ML-detected RMSGC diversity signal driven by BPSK showed superior bit error rate performance to classical diversity combining schemes. RMSGC was shown to be near-optimal in the sense that it was very close to that of the theoretically optimal MRC. Since MRC requires estimation of the channel coefficients, it is complicated and expensive, and it is not practical for non-coherent modulation and differentially coherent modulation. RMSGC, on the other hand, is a more attractive and simpler scheme since it does not require knowledge of the channel information states. The main drawback of RMSGC is that it is a non-linear technique, thus successful FPGA implementation of it using pipeline techniques is needed as a wireless communication test-bed for practical real-life situations. Simulation results showed that the hardware implementation was efficient both in terms of speed and area.