卫星测控信号盲识别算法(英文)

Blind Recognition Algorithm of TT&C Signals of Satellite

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 communication is proposed based on wavelet anal- ysis 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 zeropartition 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-noiseinterference ability.