A Modified Constrained Stability-Least Mean Square Algorithm and Its Application in Chaos Communication

被引：0
|
作者：
Song, Guodong [1 ]
Liu, Guangyuan [1 ]
Liu, Wei [1 ]
Long, Zhengji [1 ]
Wang, Shiyuan [1 ]
机构：
[1] Southwest Univ, Sch Elect & Informat Engn, Chongqing, Peoples R China
来源：
2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP) | 2012年
关键词：
least mean square (LMS); constrained stability-least mean square (CS-LMS); step size; chaotic parameter modulation; LMS ALGORITHMS; SYSTEM;
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：
The constrained stability-least mean square (CS-LMS) provides faster convergence speed and higher flexibility than the normalized least mean square (NLMS) by minimizing the Lagrangian function under a constraint stability update condition. In this paper, a modified CS-LMS is proposed by adaptively adjusting step size according to a nonlinear function based on error signal. The modified CS-LMS is then applied to perform chaos communication. Simulation results show that the proposed novel CS-LMS can effectively recover information signals, and outperform the other LMS algorithms.
引用
收藏
页码：1523 / 1527
页数：5
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