A new blind adaptive multiuser detection algorithm of Kalman filtering based on subspace

被引：0

作者：

Li, Deng-Ao ^{[1
]}

Zhao, Ju-Min ^{[1
]}

Shi, Yong-Chao ^{[1
]}

机构：

[1] Taiyuan Univ Technol, Dept Informat & Commun Engn, Taiyuan 030024, Shanxi, Peoples R China

来源：

FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 1, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/FSKD.2007.70

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：449 / 452

页数：4

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