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
相关论文
共 50 条
  • [41] Boxed-constraint least mean square algorithm and its performance analysis
    Wang, Wenyuan
    Zhao, Haiquan
    SIGNAL PROCESSING, 2018, 144 : 201 - 213
  • [42] Parallel pipelined least-mean-square algorithm and its performance analysis
    SHANG Yong
    Key Laboratory of Radar Signal Processing
    Progress in Natural Science, 2002, (01) : 71 - 74
  • [43] Mean-square stability of the Normalized Least-Mean Fourth algorithm for white Gaussian inputs
    Bershad, Neil J.
    Bermudez, Jose C. M.
    DIGITAL SIGNAL PROCESSING, 2011, 21 (06) : 694 - 700
  • [44] A modified fractional least mean square algorithm for chaotic and nonstationary time series prediction
    Bilal Shoaib
    Ijaz Mansoor Qureshi
    Ihsanulhaq
    Shafqatullah
    Chinese Physics B, 2014, (03) : 163 - 168
  • [45] A modified quantized kernel least mean square algorithm for prediction of chaotic time series
    Zheng, Yunfei
    Wang, Shiyuan
    Feng, Jiuchao
    Tse, Chi K.
    DIGITAL SIGNAL PROCESSING, 2016, 48 : 130 - 136
  • [46] A modified fractional least mean square algorithm for chaotic and nonstationary time series prediction
    Shoaib, Bilal
    Qureshi, Ijaz Mansoor
    Ihsanulhaq
    Shafqatullah
    CHINESE PHYSICS B, 2014, 23 (03)
  • [47] Communication-Reducing Algorithm of Distributed Least Mean Square Algorithm with Neighbor-Partial Diffusion
    Feng Chen
    Shuwei Deng
    Yi Hua
    Shukai Duan
    Lidan Wang
    Jiagui Wu
    Circuits, Systems, and Signal Processing, 2020, 39 : 4416 - 4435
  • [48] Communication-Reducing Algorithm of Distributed Least Mean Square Algorithm with Neighbor-Partial Diffusion
    Chen, Feng
    Deng, Shuwei
    Hua, Yi
    Duan, Shukai
    Wang, Lidan
    Wu, Jiagui
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2020, 39 (09) : 4416 - 4435
  • [49] An on-line modified least-mean-square algorithm for training neurofuzzy controllers
    Tan, Woei Wan
    ISA TRANSACTIONS, 2007, 46 (02) : 181 - 188
  • [50] A modified least-mean-square-error algorithm for location of outages in distribution systems
    Rodrigo, PD
    Pahwa, A
    ELECTRIC MACHINES AND POWER SYSTEMS, 1998, 26 (05): : 477 - 493
12345