应用科学学报 ›› 2010, Vol. 28 ›› Issue (1): 14-18.

• 通信工程 • 上一篇    下一篇

应用ICA的混沌直扩信号盲分离及检测

徐威1;3, 胡铁华2, 张瑞芳1, 郭静波3   

  1. 1. 空军大连通信士官学校有线电通信系,辽宁大连116600
    2. 机械科学研究总院,北京100044
    3. 清华大学电机系,北京100084
  • 收稿日期:2009-09-02 修回日期:2009-11-15 出版日期:2010-01-20 发布日期:2010-01-21
  • 作者简介:郭静波,教授,博导,研究方向:混沌理论及其应用、电力系统数字通信、信号检测与估计,E-mail:guojb@tsinghua.edu.cn
  • 基金资助:

    电力系统国家重点实验室基金(No.SKLD09M25)资助

Blind Separation and Detection of Chaotic DS Signals Based on ICA

XU Wei1;3, HU Tie-hua2, ZHANG Rui-fang1, GUO Jing-bo3   


  1. 1. Department of Wire Communication, Dalian Air Force Communication Academy, Dalian 116600,Liaoning Province, China
    2. China Academy of Machinery Science and Technology, Beijing 100044, China
    3. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
  • Received:2009-09-02 Revised:2009-11-15 Online:2010-01-20 Published:2010-01-21

摘要:

摘要: 混沌直扩信号是由普通混沌信号直接调制信息信号得到的一类扩频通信信号,它兼有混沌信号和直扩信号容量大、低截获等特点. 该文针对复杂环境下非合作混沌直扩信号检测的问题,考虑到多径传输及噪声条件下混沌直扩信号混沌特性被明显削弱,在考察直接检测方法的基础上提出一种基于ICA的信号盲分离和混沌特性检测相结合的检测方法. 首先将接收到的混合信号分离成各单路信号,再检测各路信号的混沌特性. 理论分析和仿真实验表明,分离后混沌直扩信号的纯净度明显提高,基本上不再受噪声等的影响,在输入信噪比?40 dB 条件下仍可有效检测出混沌直扩信号.

关键词: 混沌直扩信号, 信号检测, Lyapunov指数, 信号盲分离, 独立分量分析

Abstract:

Chaotic DS signal is a kind of spread spectrum signal generated by directly modulating information signal with a chaotic signal. Communications using chaotic DS signals instead of conventional direct sequence spread spectrum signals have many advantages such as larger capacity and low probability of intercept. However, detection of chaotic DS signals is difficult. We propose a method to detect chaotic DS signals by calculating the largest Lyapunov exponent of the time series after being separated from the received signals using an ICA blind signals separation algorithm. Simulation results show feasibility of this method under Gaussian noise and multi-path channel interferences.

Key words: chaotic DS, signal detection, Lyapunov exponent, blind signals separation, independent component analysis

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