基于小波分析的卫星测控信号盲识别算法  

Blind Recognition Algorithm of TT&C Signals of Satellite Based on Wavelet Analysis

作　　者：王乐[1] 顾学迈[1] 王永建[1] 

机构地区：[1]哈尔滨工业大学通信技术研究所,黑龙江哈尔滨150001

出　　处：《南京理工大学学报》2006年第6期729-732,738,共5页Journal of Nanjing University of Science and Technology

基　　金：国家"863"计划(2004AA001210)

摘　　要：针对卫星测控通信信息侦察中测控信号识别的问题,提出一种基于小波分析的测控信号副载波识别算法。算法首先基于小波多分辨率分析去噪原理,对混合信号进行去噪处理,然后,采用零点分区法确定副载波个数,最后设计了阈值自适应判别算法来确定各个副载波的频率分界点。仿真结果表明:该测控信号副载波识别算法精度达到95%,抗噪声干扰能力强。A blind sub-carrier recognition algorithm of TT＆C （telemetry, tracking and command） communication is proposed based on the wavelet analysis in terms of recognition of TT＆C signals for military TT＆C communication information scout. First, the proposed algorithm denoises the mixedsignals based on the theory of wavelet multi-resolution analysis. And then zero-partition is put forward to make sure the number of sub-carriers. Finally, the adaptive threshold identification algorithm is designed to identify the frequency cut-off points of every sub-carrier. The simulation results show that the recognition precision of the proposed sub-carrier recognition algorithm is 95% and the algorithm is of stronger anti-noise-interference abihty.

关 键 词：小波分析 副载波 盲识别 

分 类 号：TN927.2[电子电信—通信与信息系统]