期刊文献+

基于时频分布图像的辐射源特征提取及识别

Emitter Feature Extraction and Recognition Based on CWD Figure
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摘要 新体制雷达在现代军事中得到越来越多的应用,如何提取这些新体制雷达的细微特征并用这些特征进行识别也成为一个迫切的问题。用Choi-Williams分布(CWD)对信号进行时频变换,然后基于这些信号时频变换图进行奇异值分解,提取信号特征,设计了根据这些特征进行识别的流程图,结合计算机仿真对该识别方法进行了深入的分析,得出该方法具有一定的适用性的结论。 Along with the application of new system radar to modem military becomes more and more,how to extract the imperceptible characteristics of these new system radars and use these characteristics to perform identification become an urgent problem.This paper uses Choi-Williams distribution(CWD) to perform time-frequency transform to signals,then decomposes the singularity based on the time-frequency transform figure of these signals in order to extract the signal characteristics,designs the flow chart for identification according to these characteristics,deeply analyzes the identification method combining with the computer simulation,and deduces that the method has definite applicability.
机构地区 解放军
出处 《舰船电子对抗》 2012年第1期65-69,共5页 Shipboard Electronic Countermeasure
关键词 特征提取 识别 奇异值 时频分布 feature extraction recongnition singularity time-frequency distribution
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参考文献5

  • 1林春应.电子对抗侦察情报分析[M]合肥:中国人民解放军电子工程学院,2002. 被引量:1
  • 2Choi H L,Williams W J. Improvedt ime-frequency rep-resentation of multicomponent signals using exponertialkernels[J].IEEE Transactions on Acoustics,speech and Signal Processing,2004,(06):862-871. 被引量:1
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