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

Volume

1

fYear

2007

fDate

24-27 Aug. 2007

Firstpage

449

Lastpage

452

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on

Conference_Location

Haikou

Print_ISBN

978-0-7695-2874-8

Type

conf

DOI

10.1109/FSKD.2007.70

Filename

4405965