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

作者：Liu Yongjian; Xiao Peng^*; Wu Hongchao; Xiao Weihua

来源：Journal of Systems Engineering and Electronics, 2015, 26(5): 973-981.

DOI：10.1109/JSEE.2015.00106

• low probability of intercept (LPI)
• integral rotating factor
• signal detection
• image processing

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.

• 出版日期2015-10
• 单位中国人民解放军空军航空大学