应用概率统计方法对混沌信号进行非相干检测

应用概率统计方法对混沌信号进行非相干检测

刘雄英¹, 丘水生¹, 刘重明²

1. 华南理工大学电信学院, 广州 510640； 2. 香港理工大学电子与资讯工程系, 香港

收稿日期:2003-04-23 修回日期:1900-01-01 出版日期:2004-01-26 发布日期:2004-01-26
通讯作者: 刘雄英

Noncoherent detection technology for chaotic signal based on probabilistic method

LIU Xiong-ying¹, QIU Shui-sheng¹, Francis C M Lau²

1. College of Electronic and Communication Engineering, South China University of Technology,Guangzhou 510640, China;2. Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, China

Received:2003-04-23 Revised:1900-01-01 Online:2004-01-26 Published:2004-01-26
Contact: LIU Xiong-ying

摘要/Abstract

摘要： 提出一种基于概率统计的方法, 采用最大似然法和贝叶斯公式, 在Chaos Shift Keying系统的接收端重构发射端混沌映射, 实现混沌信号的非相干检测. 在系统的发送端, 根据所发送的二进制信号对混沌映射系统进行分叉参数调制, 由于混沌信号对参数条件的敏感性, 所以在不同的参数条件下混沌信号有很大不同, 在接收端采用概率统计方法, 对信号发生的概率进行计算, 根据事件发生概率的不同判断接收到的数字信号. 理论推导和计算机仿真结果基本一致.

关键词: 非相干检测, 混沌信号, 最大似然法, 贝叶斯公式

Abstract: Generally, coherent or noncoherent method can be applied to chaso-based digital communication for digital informationdetection. In this paper, a kind of noncoherent detection technology for chaotic signal based on probabilistic method is presented. The method consists of maximum-likelihood and Bayesian formulation. Nonconherent detection is realized by the reconstruction of chaotic signal at CSK receiver. Firstly, the transmitter undergoes bifurcation-parameter modulation according to transmitted digit. Due to the chaotic si gnals sensitivity to parameter, the received chaotic signals with different bifurcation parameter is different. Corresponding to the different calculated probabilities, the transmitted digital signal can be decode correctly. The simulation results using Matlab agrees well with the presented theory.

Key words: noncoherent detection, chaotic signal, maximum-likelihood, Bayesian formulation

中图分类号:

TN911.23

刘雄英, 丘水生, 刘重明. 应用概率统计方法对混沌信号进行非相干检测[J]. J4, 2004, 42(01): 103-106.

LIU Xiong-ying, QIU Shui-sheng, Francis C M Lau. Noncoherent detection technology for chaotic signal based on probabilistic method[J]. J4, 2004, 42(01): 103-106.