A network of Kalman filters for MAI and ISI compensation in a non-Gaussian environment

  • Authors:
  • Bessem Sayadi;Sylvie Marcos

  • Affiliations:
  • Laboratoire des Signaux et Systèmes (LSS), Supélec CNRS, Gif-sur-Yvette Cedex, France;Laboratoire des Signaux et Systèmes (LSS), Supélec CNRS, Gif-sur-Yvette Cedex, France

  • Venue:
  • EURASIP Journal on Applied Signal Processing
  • Year:
  • 2005

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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.