A new robust multi-user detector based on a network of Kalman filters for non-Gaussian environment

Author

Sayadi, Bessem ; Marcos, Sylvie

Author_Institution

Lab. des Signaux et Syst., CNRS, Gif-sur-Yvette, France

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

17

Lastpage

21

Abstract

A network of Kalman filters (NKF)-based detector has recently been proposed for multiple access interference (MAI) and inter-symbols interference (ISl) compensation in DS-CDMA systems (B. Sayadi and S. Marcos, 2002). This paper presents a new structure, based on the NKF detector and on a Bayes-test for impulses localization. The resulting structure works efficiently in an "e-contaminated" noise environment. Their BER performance is near the Gaussian channel case.

Keywords

Gaussian channels; Gaussian noise; Kalman filters; code division multiple access; error statistics; filtering theory; impulse noise; intersymbol interference; multiuser detection; radiofrequency interference; spread spectrum communication; BER performance; DS-CDMA systems; Gaussian channel; Gaussian noise; Kalman filters; bit error rate; impulse localization; impulse noise; intersymbols interference; likelihood ratio test; multiple access interference; multiuser detector; AWGN; Additive white noise; Detectors; Equations; Gaussian noise; Multiaccess communication; Multiple access interference; Robustness; Testing; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on

Print_ISBN

0-7803-8292-7

Type

conf

DOI

10.1109/ISSPIT.2003.1341049

Filename

1341049