基于小波去噪和混沌理论的应答器信号解调方法  

Demodulation Method of Balise Signal Based on Wavelet Denoising and Chaos Theory

作　　者：杨红强 蔡小成 南向曈 谭传武[1] YANG Hong-qiang;CAI Xiao-cheng;NAN Xiang-tong;TAN Chuan-wu(Hunan Railway Professional Technology College,Zhuzhou 412000 China)

机构地区：[1]湖南铁道职业技术学院,湖南株洲412000

出　　处：《自动化技术与应用》2023年第2期21-25,共5页Techniques of Automation and Applications

基　　金：湖南省自然科学基金(2020JJ7052);湖南省教育厅科学研究项目(19C1211);湖南铁道职业技术学院校级课题项目(K202010)。

摘　　要：为提高应答器信息传输子系统的性能,解决强噪声干扰下应答器传输模块(BTM)解调信号精度低的问题。本文充分利用混沌系统对噪声免疫、对初值条件敏感和小波变换多分辨率的特性,采用基于小波去噪和混沌理论相结合的方法,实现了应答器信号的解调。鉴于熵可作为表征系统复杂度的特点,在进行系统状态判别时,引入功率谱熵来恢复二进制基带信号。仿真结果表明:在强噪声背景下,基于小波去噪和混沌理论的解调方法误码率更低,优于非相干解调法和单个混沌解调法,该方法具有较强的抗干扰性能,为改善应答器传输系统的性能提供了参考。In order to improve the performance of Balise information transmission subsystem and solve the problem of low demodulation accuracy of Balise transmission module(BTM) under strong noise interference, this paper makes full use of the characteristics of chaotic system, such as immunity to noise, sensitivity to initial conditions and multi-resolution of wavelet transform, and realizes the demodulation of balise signal by combining wavelet de-noising and chaos theory. Since entropy can be used to represent the complexity of the system, power spectrum entropy is introduced to recover the binary baseband signal when judging the system state. The simulation results show that: in the strong noise background, the demodulation method based on wavelet de-noising and chaos theory has lower bit error rate, which is better than the incoherent demodulation method and single chaotic demodulation method. This method has strong anti-jamming performance, which provides a reference for improving the performance of the transponder transmission system.

关 键 词：小波去噪 混沌理论 应答器 功率谱熵 信号解调 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]