基于小波域相干边沿检测器的脉冲序列检测与定位算法

Detection and Localization Method of Pulse Sequence Using Wavelet Transform-Based Coherent Edge Detector

利用小波变换技术研究了雷达-通信共存系统中脉冲信号的有效检测与定位方法.基于小波变换的能量集中特性和脉冲边沿的小波变换系数在小波滤波器支撑集中高度相关的特性,提出了小波域相干边沿检测器,其判决统计量为小波变换系数在不同时延上的自相关值之和.导出了该判决统计量的统计特性与最优求和长度,并提出了基于小波域相干边沿检测器的脉冲信号的有效检测与定位方法.仿真结果表明了基于小波域相干边沿检测的脉冲信号检测与定位方法优于已有方法.

This paper focuses on investigating efficient detection and localization of pulse signals in radar- communication coexistence systems using wavelet transforms （WT）. Based on the properties that the WT coefficients due to edge signals are highly correlated in the region of support （RoS） of wavelet filters while those due to noise do not, this paper presents a WT-based coherent edge detector wh sion statistics by integrating the autocorrelation of the WT coefficients in the RoS o theoretically analyzes its statistical properties. Based on this WT-based coherent edge pulse detection and localization algorithm is proposed. Finally, simulations are carrie performance of the proposed pulse detection and localization algorithm. h generates its deci- wavelet filters, and detector, an efficient d out to illustrate the