基于时频分析的雷达信号滤波方法
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摘要
深空目标的雷达回波信号较弱而且受噪声干扰严重,给检测识别工作带来很大的困难;提出了一种时频滤波方法,将基于广义S变换的时频滤波引入到雷达回波信号去噪当中;采用广义S变换对回波信号进行时频分析,利用变换结果求解信号的瞬时频率,并构造了一种时频滤波器.对雷达回波信号进行时频滤波处理并对滤波效果进行分析;仿真结果表明,经滤波后信噪比有较大提高,且很好保留了信号特征。
The radar echo signal of targets in space is weak and interfered by noise seriously so it is difficult to detect and recognize them. An algorithm of time-frequency filter has been presented and a new method of time-frequency filter based on generalized S-transform has been introduced to radar signal processing.Introduced the rationale of S-transform and generalized S-transform and calculation method of instantaneous frequency.Constructed a kind of time-frequency filter and applied to the radar echo signal with noise.Analysis of filtering performance was presented.Simulation result showed that the method has good performance in improving signal-to-noise ratio meanwhile preserving the features of effective signal.
The radar echo signal of targets in space is weak and interfered by noise seriously so it is difficult to detect and recognize them. An algorithm of time-frequency filter has been presented and a new method of time-frequency filter based on generalized S-transform has been introduced to radar signal processing.Introduced the rationale of S-transform and generalized S-transform and calculation method of instantaneous frequency.Constructed a kind of time-frequency filter and applied to the radar echo signal with noise.Analysis of filtering performance was presented.Simulation result showed that the method has good performance in improving signal-to-noise ratio meanwhile preserving the features of effective signal.
引文
[1]丁鹭飞，耿富禄．雷达原理[M]．西安：西安电子科技大学出版社，2005：52—58．
[2]S.R.Samantaray P.K.Dash Pattern recognition based digital re- laying for advanced series compensated line[J]. International Jour- nals of Electrical Power Energy System,2007,(6):1-5.
[3]李天伟．贾传荧，韩云东．该进小波包分析在雷达图像消噪中的应用[J]．计算机测量与控制，2006，14(12)，1667—1669．
[4]Dash P K,Behera H S,Lee I W C.Time sequence data mining u- sing time-frequency analysis and soft computing techniques[J] Applied Soft Computing,2008,8:202-215.
[5]Stockwell R G.Mansinhal L Lowe R. P Localization of the complex spectrum:the S-transform[J]IEEE Transaction on Signal Pro- cessing,1996,44(4):998-1001.
[6]Mansinhal P.Time-local spectral analysis for non-stationary time series:the S-transform for noisy signals[J]. Fluctuation and Noise Letters,2003,3(3):357-364.
[7]高静怀，满蔚仕，陈树民．广义S变换域有色噪声与信号识别方法[J]．地球物理学报，2004．47(5)：869—875．
[8]Dash P K,Samantaray S R,Panda G.Fault analysis of advanced series compensated line using S-transform and pattern recognition approach[J].IEEE IPEC05.2005:1-6.
[9]陈学华．时频分布与地震信号谱分析研究[D]．成都：成都理工大学．2006．
[10]Chen V C,etc.Analysis of Micro-Doppler Signatures[J].IEEE Proc.-Radar,Sonar Navig,2003,150(4):271-276.
[2]S.R.Samantaray P.K.Dash Pattern recognition based digital re- laying for advanced series compensated line[J]. International Jour- nals of Electrical Power Energy System,2007,(6):1-5.
[3]李天伟．贾传荧，韩云东．该进小波包分析在雷达图像消噪中的应用[J]．计算机测量与控制，2006，14(12)，1667—1669．
[4]Dash P K,Behera H S,Lee I W C.Time sequence data mining u- sing time-frequency analysis and soft computing techniques[J] Applied Soft Computing,2008,8:202-215.
[5]Stockwell R G.Mansinhal L Lowe R. P Localization of the complex spectrum:the S-transform[J]IEEE Transaction on Signal Pro- cessing,1996,44(4):998-1001.
[6]Mansinhal P.Time-local spectral analysis for non-stationary time series:the S-transform for noisy signals[J]. Fluctuation and Noise Letters,2003,3(3):357-364.
[7]高静怀，满蔚仕，陈树民．广义S变换域有色噪声与信号识别方法[J]．地球物理学报，2004．47(5)：869—875．
[8]Dash P K,Samantaray S R,Panda G.Fault analysis of advanced series compensated line using S-transform and pattern recognition approach[J].IEEE IPEC05.2005:1-6.
[9]陈学华．时频分布与地震信号谱分析研究[D]．成都：成都理工大学．2006．
[10]Chen V C,etc.Analysis of Micro-Doppler Signatures[J].IEEE Proc.-Radar,Sonar Navig,2003,150(4):271-276.
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