频率步进雷达距离旁瓣抑制自适应脉冲压缩算法

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。

Research and simulation of stepped-frequency radar Side-lobe suppression based on APC

IFFT technique is usually used in high resolution radar imaging with step frequency signal. However, due the high sidelobes introduced by IFFT, the weak scatters or small targets may be covered by the range sidelobes of the strong scatters , which limits its application in the strong clutter environment. In order to suppress the high range sidelobes, Adaptive Pulse Compression (APC) algorithm based on Reiterative Minimum Mean-Square Error (RMMSE) has been proposed in recent years. In this paper, based on the model of APC algorithm, the APC algorithm of step frequency signal for stationary and moving target is detruded. Simulation results show that compared with IFFT method and the windowed processing, APC algorithm has a better sidelobe suppression effect ,and it can detect weak scatter or small target in the neighborhood of the strong one better.