频率步进雷达距离旁瓣抑制自适应脉冲压缩算法  

Adaptive pulse compression algorithm of stepped-frequency radar side-lobe suppression

作　　者：卢再奇[1] 曾祥桂 夏阳[1] 

机构地区：[1]国防科技大学自动目标识别重点实验室,湖南长沙410073

出　　处：《国防科技大学学报》2016年第6期154-160,共7页Journal of National University of Defense Technology

基　　金：国家自然科学基金资助项目(61401475)

摘　　要：在频率步进雷达中,通常使用逆快速傅里叶变换方法进行高分辨成像。由于逆快速傅里叶变换的距离旁瓣高,有可能造成强散射点旁瓣掩盖附近弱散射点或者弱小目标情况,限制了其在强杂波环境下的使用。为了抑制高距离旁瓣,近年来提出一种基于最小均方误差准则的自适应脉冲压缩方法。基于自适应脉冲压缩算法原理,推导了频率步进雷达距离旁瓣抑制算法。针对静止和运动目标场景,分析自适应脉冲压缩算法的旁瓣抑制性能。仿真结果表明,与逆快速傅里叶变换和加窗逆快速傅里叶变换处理比较,自适应脉冲压缩算法具有更好的旁瓣抑制效果,能够更好地检测强散射点附近的弱散射点或者弱小目标。IFFT（ inverse fast Fourier transform） technique is usually used in high resolution radar imaging with stepped frequency signal. However, due to the high side-lobes introduced by IFFT, the weak scatters or small targets may be covered by the range side-lobes of the strong scatters, which limit its application in the strong clutter environment. In order to suppress the high range side-lobes, APC （ adaptive pulse compression） algorithm based on MMSE （minimum mean square error） has been proposed in recent years. Based on the model of APC algorithm, the APC algorithm of stepped frequency signal for stationary and moving target was detruded. Simulation results show that the APC algorithm has a better side-lobe suppression effect when compared with the IFFT method and the windowed processing, and it can detect weak scatter or small target in the neighborhood of the strong one better.

关 键 词：频率步进雷达 自适应脉冲压缩 最小均方误差 旁瓣抑制 

分 类 号：TN95[电子电信—信号与信息处理]