强海杂波下机载雷达HRRP舰船长度提取算法

Ship Target Length Extraction Algorithm for Airborne Radar High Resolution Range Profile under High Sea Clutter

针对机载雷达受海杂波影响难以对舰船目标高分辨距离像(HRRP)长度准确提取的问题,本文提出一种可适用于强海杂波条件下的舰船长度提取算法。首先,根据舰船目标的航迹信息判断舰船运动姿态并估计当前海面舰船运动姿态与斜平面舰船HRRP回波之间的几何映射关系;其次,对HRRP回波进行包络拉齐和方位聚焦,提升目标信噪比;然后,引入图形学处理方法提出一种基于均值滤波与自适应阈值处理的舰船长度提取算法,提升目标边界信息与杂波间的区分度,实现对HRRP长度的准确提取;最后,多组实测数据验证了所提算法可适用于强海杂波,测长平均误差稳定在10%以内,具有稳健的测长精度与工程应用价值。

Due to the difficulty of ship length extraction of airborne radar high range resolution profile(HRRP)under high sea clutter,a ship length extraction algorithm for eliminating the impacts of sea clutter is proposed in this paper.Firstly,the motion features of ship targets are judged by radar track,and the geometric projection between ship movement on the sea surface and HRRP echo acquisition in the slant range plane is estimated.Further,range envelops alignment and azimuth focusing are presented for improving the signal noise rate(SNR)of ship target.Then,in order to separate the edge of target and sea clutter and realize the accurate ship target extraction,a novel idea of graph processing is introduced with mean filtering and adaptive processing.Finally,several series of real data results validate the applicability of the proposed method under high sea clutter,and the results present the average error of ship length extraction is less than 10%.The whole processing results show the proposed algorithm has a robust high measuring accuracy and great engineering application value.