Blind recognition algorithm for TT&C signals of satellite based on wavelet transform and independent component analysis

被引：0
|
作者：
Wang, Le [1 ]
Gu, Xuemai [1 ]
机构：
[1] Research Center of Communications, Harbin Institute of Technology, Harbin 150001, China
来源：
Nanjing Hangkong Hangtian Daxue Xuebao/Journal of Nanjing University of Aeronautics and Astronautics | 2009年 / 41卷 / 01期
关键词：
Independent component analysis - MATLAB - Satellites;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A blind sub-carrier recognition algorithm for TT&C communication is proposed based on wavelet transform and independent component analysis for recognition of TT&C signals of military TT&C communication information scout. Firstly, the algorithm denoises the mixed-signals based on the analysis theory of wavelet multi-resolution. Secondly, the mixed signals by independent component analysis are separated. Finally, the separated signals are post-processed, the estimated TT&C signals of satellite are obtained. Simulation results in Matlab show its better performance and efficiency in the mixed TT&C signals of satellite recognition, thus proving the good convergence and the robustness.
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页码：59 / 63
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