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ChaosShiftKeying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.
Generally, coherent or noncoherent method can be applied to chaso-based digital communication for digital information detection. 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 signal'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.
出处
《吉林大学学报(理学版)》
CAS
CSCD
北大核心
2004年第1期103-106,共4页
Journal of Jilin University:Science Edition
基金
广东省自然科学基金(批准号:990585)
教育部博士点专项基金(批准号:00056107).