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基于小波分析的卫星测控信号盲识别算法
引用本文:王乐,顾学迈,王永建.基于小波分析的卫星测控信号盲识别算法[J].南京理工大学学报(自然科学版),2006,30(6):729-732,738.
作者姓名:王乐  顾学迈  王永建
作者单位:哈尔滨工业大学,通信技术研究所,黑龙江,哈尔滨,150001
基金项目: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,最后设计了闽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。

关 键 词:小波分析  副载波  盲识别
文章编号:1005-9830(2006)06-0729-04
收稿时间:2006-03-27
修稿时间:2006-03-272006-09-12

Blind Recognition Algorithm of TT&C Signals of Satellite Based on Wavelet Analysis
WANG Le,GU Xue-mai,WANG Yong-jian.Blind Recognition Algorithm of TT&C Signals of Satellite Based on Wavelet Analysis[J].Journal of Nanjing University of Science and Technology(Nature Science),2006,30(6):729-732,738.
Authors:WANG Le  GU Xue-mai  WANG Yong-jian
Institution:Communications Research Center, Harbin Institute of Technology, Harbin 150001, China
Abstract: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 mixed-signals 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 ability.
Keywords:wavelet analysis  sub-carriers  blind recognition
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