LPI radar signal detection based on radial integration of Choi-Williams time-frequency image

查看全文 作　　者：Yongjian [1]Liu;Peng [2]Xiao;Hongchao [2]Wu;Weihua [2]Xiao

机构地区：[1]Science and Technology on Complex Aviation Systems Simulation Laboratory;[2]Aviation University of Air Force

出　　处：《Journal of Systems Science & Complexity》索引2015年第28卷第5期,共9页

摘　　要：This paper mainly revolves the time-frequency image of low probability of intercept(LPI) radar signals and carries out research work on image features selection and extraction and recognition. Since Choi-Williams distribution(CWD) uses the exponential kernel of bilinear generalized class of time-frequency distribution, it has an excellent time-frequency aggregation. And it is suitable for detecting LPI radar signals in a low signal-to-noise ratio(SNR) condition. A radial integration method based on the integral rotating factor is proposed to detect LPI radar signals when the signals' time-frequency image is obtained. First, the digital image processing method is used to preprocess the LPI radar signals' time-frequency images after CWD transformation; then, the radial integration method based on the integral rotating factor is used to detect LPI radar signals in the binary images. The analytic results of real data show that the method has a good performance on detecting LPI radar signals in a low SNR condition. Additionally,the method is simple and takes less logic resources and has the potential of real-time detection of LPI radar signals. 关键词：雷达信号检测时频图像 LPI 积分法径向数字图像处理技术低信噪比旋转因子

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LPI radar signal detection based on radial integration of Choi-Williams time-frequency image

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