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卫星测控信号盲识别算法
引用本文:王乐,顾学迈.卫星测控信号盲识别算法[J].科学技术与工程,2008,8(18).
作者姓名:王乐  顾学迈
作者单位:哈尔滨工业大学通信技术研究所,哈尔滨,150001
基金项目:国家高技术研究发展计划(863计划),国家自然科学基金
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。

关 键 词:小波分析  副载波  盲识别

Blind Recognition Algorithm of TT&C Signals of Satellite
WANG Le,GU Xue-mai.Blind Recognition Algorithm of TT&C Signals of Satellite[J].Science Technology and Engineering,2008,8(18).
Authors:WANG Le  GU Xue-mai
Abstract:A blind sub-carrier recognition algorithm of TT&C communication is proposed based on 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. 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-carrier blind recognition
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