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A New Blind Adaptive Multiuser Detection Algorithm of Kalman Filtering Based on Subspace

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3 Author(s)
Deng-Ao Li ; University of Technology, Taiyuan, Shanxi ; Ju-Min Zhao ; Yong-Chao Shi

To solve the problem of multiple-access interference (MAI) in the DS-CDMA system, this paper analyzed the blind adaptive multiuser detection algorithm of Kalman filtering proposed by Zhang Xianda etc., and put forward a new algorithm based on subspace to reduce the computation complexity. The simulation results show that the new algorithm has better convergence performance in non-fading channels as well as in slowly time-varying Rayleigh fading channels.

Published in:

Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on  (Volume:1 )

Date of Conference:

24-27 Aug. 2007