| 基于小波变换和ICA的卫星测控信号盲识别算法 |
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| 引用本文： | 王乐,顾学迈.基于小波变换和ICA的卫星测控信号盲识别算法[J].南京航空航天大学学报,2009,41(1). |
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| 作者姓名： | 王乐 顾学迈 |
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| 作者单位： | 哈尔滨工业大学通信技术研究所,哈尔滨,150001 |
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| 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 |
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| 摘 要： | 针对信息对抗中对非合作卫星测控信号识别的问题,提出一种小波变换和独立分量分析相结合的卫星测控信号盲识别算法.首先,基于小波变换去除噪声原理,对混合信号进行去噪处理;然后,采用独立分量分析的方法对去噪后的混合信号进行分离;最后进一步对分离后的测控信号作矢量归一和再去噪处理,得到卫星测控信号的最终估计.Matlab仿真结果表明:该识别算法可以较好地分离卫星测控信号,并且很好地保留了源信号的特征,具有良好的稳定性,收敛速度较快.
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| 关 键 词： | 小波变换 独立分量分析 盲识别 |
Blind Recognition Algorithm for TT&C Signals of Satellite Based on Wavelet Transform and Independent Component Analysis |
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| Wang Le,Gu Xuemai.Blind Recognition Algorithm for TT&C Signals of Satellite Based on Wavelet Transform and Independent Component Analysis[J].Journal of Nanjing University of Aeronautics & Astronautics,2009,41(1). |
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| Authors: | Wang Le Gu Xuemai |
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| Institution: | The Research Center of Communications;Harbin Institute of Technology;Harbin;150001;China |
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| Abstract: | 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.Simulatio... |
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| Keywords: | wavelet transform independent component analysis blind recognition |
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