摘要
为了探测因杂波干扰强度大、目标回波微弱等原因,导致雷达操纵员将其误当成杂波点的慢速小目标。把连续多帧雷达图像进行长时间积累,针对多帧雷达图像积累中目标回波不连通的情况,提出了一种目标回波不连通的慢速小目标探测方法。引入最小外接矩形的长宽比Fj3、占空比Fj2和像素值Fj1等3个参量,运用图像标记技术提取目标回波上述参量,利用Fj1去除大片连通目标回波对慢速小目标的干扰,通过Fj2和Fj3得到的信息值H(Aj)对目标回波进行分类处理。在每个分类域中,首先去除目标回波中间隔距离大于多帧积累时间内慢速小目标运动距离的目标回波,然后通过"慢速小目标的确定"实现对慢速小目标的有效探测,最后把每个分类域中慢速小目标探测结果进行合成得到最终的慢速小目标探测效果。仿真实验结果验证了该算法的有效性。
In order to detect the slow and small target（SST）of can be detected that the radar operators often mistake it as a clutter point because of large clutter interference intensity,weak target echo and other reasons.The continuous multi-frame radar image has been accumulating for a long time,aiming at the problem that the target echo is not connected in the multi-frame radar image accumulation,a detection method for SST based on target echo disconnection is proposed.The parameters of the minimum circumscribed rectangle,consisting of F_3~j、F_2~j and F_1~j,and these parameters are extracted in the target accumulation echo by image marking technique,the interference of the large target connected echo to the SST is eliminated by F_1~j,the H（A^j）obtained by F_2~j and F_3~j classifies the target accumulation echo,according to the moving distanceαof SST multiframe accumulation time.In each classification filed,the target with the target echo distance greater thanαthe target is filtered,then through the＂SST determination＂to achieve SST effective detection.Finally,the SST detection results in classification domain are synthesized to obtain the final SST detection effect.Simulation results verify the effectiveness of the proposed algorithm.
作者
朱源才
王红
谭贤四
曲智国
ZHU Yuancai;WANG Hong;TAN Xiansi;QU Zhiguo(The Air Defense Early Warning Equipment Department of Air Force Early Warning Academy,Wuhan 430019,China)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2018年第12期2675-2682,共8页
Systems Engineering and Electronics
基金
国家自然科学基金(61401504)
博士后科学基金(2014M562562)资助课题
关键词
慢速小目标
多帧雷达图像积累
图像处理
目标回波分类
slow and small target （SST）
multi-frame radar image accumulation
image processing
target echo classification
