Open Access

A Network of Kalman Filters for MAI and ISI Compensation in a Non-Gaussian Environment

EURASIP Journal on Advances in Signal Processing20052005:134082

https://doi.org/10.1155/ASP.2005.635

Received: 4 September 2003

Published: 20 April 2005

Abstract

This paper develops a new multiuser detector based on a network of kalman filters (NKF) dealing with multiple access-interference (MAI), intersymbol Interference (ISI), and an impulsive observation noise. The two proposed schemes are based on the modeling of the DS-CDMA system by a discrete-time linear system that has non-Gaussian state and measurement noises. By approximating the non-Gaussian densities of the noises by a weighted sum of Gaussian terms and under the common MMSE estimation criterion, we first derive an NKF detector. This version is further optimized by introducing a feedback exploiting the ISI interference structure. The resulting scheme is an NKF detector based on a likelihood ratio test (LRT). Monte-Carlo simulations have shown that the NKF and the NKF based on LRT detectors significantly improve the efficiency and the performance of the classical Kalman algorithm.

Keywords and phrases:

multiuser detectionKalman filteringGaussian sum approximationimpulsive noiselikelihood ratio test

Authors’ Affiliations

(1)
Laboratoire des Signaux et Systèmes (LSS), Supélec CNRS, Plateau de Moulon

Copyright

© Sayadi and Marcos 2005