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混沌卷积混合信号的预测重构盲反卷积方法
引用本文:成谢锋,陈鹤鸣,马勇,黄勇林.混沌卷积混合信号的预测重构盲反卷积方法[J].智能系统学报,2007,2(4):63-68.
作者姓名:成谢锋  陈鹤鸣  马勇  黄勇林
作者单位:1. 南京邮电大学,光电工程学院,江苏,南京,210001;济南大学,控制科学与工程学院,山东,济南,250022
2. 南京邮电大学,光电工程学院,江苏,南京,210001
3. 北京机械工业学院,基础部,北京,100085
基金项目:山东省自然科学基金资助项目(y2006G03);山东省重点科技攻关项目(2006Gg204005).
摘    要:介绍了混沌序列的特性,然后利用混沌的类随机特性和盲信号处理技术,提出了一种针对混沌卷积混合信号的预测重构盲反卷积方法.该方法充分利用了混沌的物理特性,通过对混沌卷积混合信号使用基于直接预测误差分析所构成的混沌滤波器和基于相空间重构动力学系统方程的人工智能补偿技术去进行盲反卷积,从而实现对单输入单输出混沌卷积信号的源信号和传输函数的盲反卷积处理.仿真实验验证了该方法的有效性和可行性。

关 键 词:盲反卷积  混沌  信号处理
文章编号:1673-4785(2007)04-0063-06
修稿时间:2006-12-28

A blind deconvolution method for chaotic signals based on prediction and reconstruction analysis
CHENG Xie-feng,CHEN He-ming,MA Yong,HUANG Yong-lin.A blind deconvolution method for chaotic signals based on prediction and reconstruction analysis[J].CAAL Transactions on Intelligent Systems,2007,2(4):63-68.
Authors:CHENG Xie-feng  CHEN He-ming  MA Yong  HUANG Yong-lin
Affiliation:1. Nanjing University of Posts and Telecommunications, Nanjing 210046,China; 2. Division of Basic Courses, Beijing Insti tute of Machinery, Beijing 100085, China; 3. School of Control Science and Engineering, Jinan University, Jinan 250022, China
Abstract:Based on the statistical characteristics of chaotic signals and blind signal processing techniques, a blind deconvolution method for chaotic signals based on prediction and reconstruction analysis is proposed. This method achieves blind deconvolution with respect to source signals and transmission functions of chaotic signals with single-input and single-output through linear predication error analysis and artificial intelligence compensation. The effectiveness and feasibility of the proposed method were demonstrated in s lations.
Keywords:blind deconvolution  chaos  signal processing
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