The weighted wavelet packet based LMS algorithm and its application to channel estimation

被引：0
|
作者：
Zhang, XD [1 ]
Zhang, G [1 ]
Bi, GG [1 ]
机构：
[1] Southeast Univ, Dept Radio Engn, Nanjing 210096, Peoples R China
来源：
CHINESE JOURNAL OF ELECTRONICS | 2000年 / 9卷 / 04期
关键词：
wavelet packet transform; channel estimation; LMS (least mean square) algorithm; weight updating; constrained optimization;
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：
A weighted wavelet packet based least mean square algorithm (WWP-LMS) applied to estimate slowly time varying channels is proposed. In this algorithm, the training and desired signals are both projected onto wavelet packet subspaces. The mean square errors (MSEs) are weighted in different subspaces and combined to act as the system error criterion; while the LMS algorithm is used to approximate the channel response. Theoretical analysis and simulation results show that the proposed algorithm is superior to the traditional LMS in estimation error performance and convergence rate, especially as unexpected narrowband interference is present.
引用
收藏
页码：429 / 432
页数：4
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