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应用科学学报 ›› 2009, Vol. 27 ›› Issue (2): 111-116.

• 通信工程 •    下一篇

混沌直扩信号检测的最大Lyapunov指数方法

徐威 郭静波   

  1. 清华大学 电机系，北京100084
  • 收稿日期:2008-09-08 修回日期:2008-12-15 出版日期:2009-04-01 发布日期:2009-04-01
  • 通信作者: 郭静波，教授，博导，研究方向：混沌理论及其在通信对抗中的应用、电力系统数字通信、信号检测与估计等 E-mail:guojb@tsinghua.edu.cn
  • 基金资助:
    国家专项基金资助项目

Detection of Chaotic Direct Sequence Spread Spectrum Signal Based on the Largest Lyapunov Exponent

  1. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
  • Received:2008-09-08 Revised:2008-12-15 Online:2009-04-01 Published:2009-04-01

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1660

被引次数

18

摘要：

混沌直扩信号是一类兼有混沌信号和直扩信号优点的扩频通信信号，但带来优点的同时也使得传统直扩信号的检测方法不再适用于混沌直扩信号. 该文针对复杂环境下非合作混沌直扩信号检测的问题，分析传统直扩信号检测方法. 通过考察混沌特性判别混沌信号的方法，提出先通过C-C方法确定重要参数，以小数据量法计算接收信号的最大Lyapunov指数，实现对混沌直扩信号的检测. 验证了该方法在高斯噪声、衰落信道、多径信道、不同扩频比等条件下的适用性.

关键词: 混沌直扩信号, Lyapunov指数, C-C方法, 小数据量法

Abstract:

Chaotic DS signal is a kind of spread spectrum signal that has the merits of both chaotic and directsequence spread spectrum (DSSS) signals. In order to realize blind detection of chaotic DSSS signal, both conventional
DSSS signal methods and chaotic signal detection methods are investigated. A novel method is introduced in
which the C-C method is used to determine key parameters. The largest Lyapunov exponent of time series is then calculated using small data sets. Simulation results verify feasibility of this method under different conditions such as Gaussian noise and multi-path channel.

Key words: chaotic DS signal, Lyapunov exponent, C-C method, small data set

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