基于滑动相关的UWB雷达目标识别

UWB Radar Target Recognition Based on Moving Correlation

目标识别是现代雷达领域的一个难点问题.本文基于滑动相关理论,结合超宽带(UWB)雷达能获取目标高分辨力距离像的特性,提出了一种基于滑动相关的UWB雷达目标识别方法.该方法避免了对目标极点的提取,仿真结果表明有较好的识别效果,且算法简明,易于实现。

Target recognition is a tricky technique in the field of modern radars. A method of UWB radar target recognition based on moving correlation was put forward in terms of moving correlation theory combining with high resolution range imaging of UWB radar. This method can avoid extraction of target poles, and the simulation results show that it has a better effect on recognition, a simple algorithm, and an easy implementation.