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多分量雷达辐射源信号的检测与分离
引用本文:刘勇,张国毅,齐兴龙,田润澜.多分量雷达辐射源信号的检测与分离[J].航天电子对抗,2014(3):37-41.
作者姓名:刘勇  张国毅  齐兴龙  田润澜
作者单位:空军航空大学信息对抗系,吉林长春130022
摘    要:针对多分量雷达辐射源信号难以有效检测与分离的问题,提出了时频变换结合时变滤波的方法。通过图像分割中的区域生长法在时频平面对各分量进行检测,对其中的线性调频分量采用分数阶傅里叶变换进行优先分离,再对时频或频域没有耦合的分量进行滤波,最后通过支持向量机划分分类线,用于时频耦合分量的分离。仿真实验结果表明,该方法可以对多分量信号进行有效的检测与分离。

关 键 词:多分量信号  时变滤波  线性调频(LFM)  分数阶傅里叶变换(FRFT)  支持向量机(SVM)

Detection and separation of multi-component radar emitter signals
Liu Yong,Zhang Guoyi,Qi Xinglong,Tian Runlan.Detection and separation of multi-component radar emitter signals[J].Aerospace Electronic Warfare,2014(3):37-41.
Authors:Liu Yong  Zhang Guoyi  Qi Xinglong  Tian Runlan
Institution:(Department of Information Countermeasures, Aviation University of Air Force, Changchun 130022 ,Jilin, China)
Abstract:To solve the problem that it is difficult for the effective detection and separation of multicomponent radar emitter signals, a method of time-frequency transform combined with time-varying filtering is presented. Each component of the time-frequency plane is detected by means of region growing method in the image segmentation. Firstly, LFM components are separated by FRFT. Then, the components which don't interact in the time or frequency domains are filtered. Finally, the dividing line obtained via SVM is used to filter the components which interact in the time-frequency domains. The results of simulation show that the proposed method can detecte and separate multi-component signals effectively.
Keywords:multi-component signal  time-varying filtering  linear frequency modulation  fractional Fourier transform  support vector machine
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