A New Algorithm of Normalized LMS Blind Multiuser Dectector Based on Kalman Filter

被引：0
|
作者：
Guo, Shao-bin [1 ]
Huang, Ping [1 ]
Guo, Shao-jing [2 ]
机构：
[1] Harbin Engn Univ, Dept Automat, Harbin, Peoples R China
[2] Harbin Engn Univ, Shipbldg Engn Coll, Harbin, Peoples R China
来源：
2009 5TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-8 | 2009年
关键词：
code division multiple-access; multiple access interference; blind multiuser detector; kalman filter; least mean square;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To solve the strong MAI in the stable CDMA system a new algorithm of normalized LMS blind multiuser detector based on kalman filter is proposed. The algorithm which combines the kalman filter and normalized LMS can estimates the adaptive vector to get the optimal estimation of the detection vector. Both theory analysis and experimental simulation show that the algorithm not only has fast convergence, high accuracy in tracking, excellent capability of anti-multiple access interference, but also the low computation complexity, about a quarter of the kalman filter algorithm, and has high engineering practical value.
引用
收藏
页码：2130 / +
页数：2
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