Multi-component Emitter Signal Analysis Method Based on Reassigned S-method
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摘要: 为实现多分量辐射源信号的有效检测和识别,提出了基于重排S-method(RSM)的多分量辐射源信号分析方法.针对Wigner-Ville分布交叉项严重和计算复杂度高的问题,采用RSM分析密集、交叠的辐射源信号,给出了其算法的硬件实现和计算复杂度分析.该方法能处理线性和非线性调频信号,算法简单,易于实现.复杂体制多分量辐射源信号分析的实验结果表明,该方法能有效分析多分量辐射源信号,时频分辨率高,不受交叉项干扰,具有比Wigner-Ville分布和S-method更强的噪声抑制能力.
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关键词:
- 时频分析 /
- 辐射源信号 /
- 多分量 /
- 重排S-method
Abstract: To effectively detect and recognize multi-component emitter signals,a multi-component emitter signal analysis method based on the reassigned S-method(RSM) was proposed.To suppress the serious cross-terms of the Wigner-Ville distribution and cut down its high computational complexity,RSM was adopted to analyze dense and overlapping emitter signals.The hardware implementation and computional complexity analysis of its algorithm were given.The proposed method can process effectively linear and non-linear frequency-modulated signals,and its algorithm is simple and easy to implement.Experimental results on complex multi-component emitter signals show that the proposed method is a good approach to analyze multi-component emitter signals because of the advantages of its high time-frequency resolution,removing cross-terms,and strong noise-suppression ability over the Wigner-Ville distribution and the S-method.-
Key words:
- time-frequency analysis /
- emitter signal /
- multi-component /
- reassigned S-method
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张葛祥,荣海娜,金炜东.支持向量机在雷达辐射源信号识别中的应用[J].西南交通大学学报,2006,41(1):25-30.ZHANG Gexiang,RONG Haina,JIN Weidong.Application of support vector machine to radar emitter signal recognition[J].Journal of Southwest Jiaotong University,2006,41(1):25-30.[2] 荣海娜,张葛祥,金炜东.基于频率和形状特征的脉冲重复间隔调制识别[J].西南交通大学学报,2007,42(2):194-199.RONG Haina,ZHANG Gexiang,JIN Weidong.Pulse repetition interval modulation recognition based on frequency and patterns[J].Journal of Southwest Jiaotong University,2007,42(2):194-199.[3] 普运伟,金炜东,胡来招.基于瞬时频率二次特征提取的辐射源信号分类[J].西南交通大学学报,2007,42(3):373-379.PU Yunwei,JIN Weidong,HU Laizhao.Automatic classification of radar emitter signals based on cascade feature extractions[J].Journal of Southwest Jiaotong University,2007,42(3):373-379.[4] 李合生,韩宇,蔡英武,等.雷达信号分选关键技术研究综述[J].系统工程与电子技术,2005,27(12):2035-2040.LI Hesheng,HAN Yu,CAI Yingwu,et al.Overview of crucial technology research for radar signal sorting[J].Systems Engineering and Electronics,2005,27(12):2035-2040.[5] LEVANON N,MOZESON E.Radar signals[M].Hoboken:John Wiley Sons,Inc.,2004.[6] QIAN S,CHEN D.Joint time-frequency analysis[J].IEEE Signal Processing Magazine,1999,16(2):52-67.[7] COHEN L.Time-frequency distributions-a review[J].Proceedings of the IEEE,1989,77(7):941-981.[8] STANKOVIC L J.S-class of time-frequency distribution[J].IEE Proceedings-Vision,Image and Signal Processing,1997,144(2):57-64.[9] DJUROVIC I,STANLOVIC L J.Time-frequency representation based on the reassigned S-method[J].Signal Processing,1999,77:115-120.[10] STANKOVIC S,STANLOVIC L J.An Architecture for the realization of a system for time-frequency signal analysis[J].IEEE Trans.On Circuits and Systems-II:Analog and Digital signal processing,1997,44(7):600-604.[11] STANKOVIC L J.A method for time-frequency analysis[J].IEEE Trans.On Signal Processing,1994,42(1):225-229.[12] STANKOVIC L J.Quadratic and higher order time-frequency analysis based on the short-time Fourier transform[C]//Proceedings of the Sixth International Symposium on Signal Processing and Its Applications.Piscataway:IEEE Press,2001,2:581-582.[13] STANLOVIC L J,BHME J F.Time-frequency analysis of multiple resonances in combustion engine signals[J].Signal Processing,1999,79(1):15-28.
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