改进的步进频信号的自适应脉冲压缩算法  

A Novel Method of Adaptive Pulse Compression for Stepped Frequency Radar

作　　者：曾祥桂 卢再奇[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：《信息工程期刊（中英文版）》2014年第3期64-71,共8页Scientific Journal of Information Engineering

摘　　要：在步进频高分辨成像应用中，通常使用IFFT方法成像，由于IFFT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，近年来提出来一种基于最小均方误差准则的自适应脉冲压缩方法。本文对步进频信号体制提出了一种基于插值的自适应脉冲压缩改进算法。仿真结果表明，与加窗IFFT变换和参考算法比较，改进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。High resolution radar imaging with step frequency signal usually uses IFFT technique. 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, a modified APC algorithm for step frequency signal based on interpolation is proposed named IAPC. Simulation results show that the novel algorithm has better sidelobe suppression than window-added IFFT and reference algorithm, and it can detect weak scatter or small target in the neighborhood of the strong one better.

关 键 词：步进频信号 自适应脉冲压缩 最小均方误差 插值 旁瓣抑制 

分 类 号：TP[自动化与计算机技术]