Title :
A New Blind Adaptive Multiuser Detection Algorithm of Kalman Filtering Based on Subspace
Author :
Li, Deng-Ao ; Zhao, Ju-Min ; Shi, Yong-Chao
Author_Institution :
Taiyuan Univ. of Technol., Taiyuan
Abstract :
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.
Keywords :
Kalman filters; Rayleigh channels; adaptive signal detection; code division multiple access; communication complexity; interference suppression; multiuser detection; spread spectrum communication; time-varying channels; DS-CDMA system; Kalman filtering; blind adaptive multiuser detection algorithm; computation complexity; multiple-access interference; nonfading channels; time-varying Rayleigh fading channels; Adaptive filters; Algorithm design and analysis; Computational modeling; Convergence; Fading; Filtering algorithms; Kalman filters; Multiaccess communication; Multiple access interference; Multiuser detection;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.70
