摘要
因杂波干扰强度大、目标回波微弱等原因,导致雷达操纵员将慢小目标误当成杂波点。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小目标检测方法。引入目标回波最小外接矩形的长宽比(Fi3)和占空比(Fi2)两个参量,运用图像标记技术提取上述参量。当目标回波间隔距离小于或等于多帧积累时间内慢小目标的运动距离且目标回波长宽比和占空比所确定信息值相近时,把满足该条件目标回波信息值进行累加,并把累加结果作为该区域目标回波SHNN-CAD异常程度计算权值,最终通过控制异常程度值检测出可能的慢小目标,仿真结果验证了该算法的有效性。
The radar operators often mistake the slow and small target(SST)as a clutter point because of high clutter interference intensity and weak target echo.Accumulating the continuous multi-frame radar images for a long time and aiming at the problem that the target echoes are not connected in the multi-frame radar image accumulation,a detection method for SST based on target echo disconnection is proposed.Two parameters of the minimum circumscribed rectangle,F i 2 and F i 3,are introduced and these parameters are extracted from the target echoes by image marking technique.When the target echo interval is less than or equal to the moving distance of the SST within the multi-frame accumulation time and the information values determined by F i 2 and F i 3 of the target echoes are similar,the target echo information values meeting this condition are accumulated.The accumulation result is taken as the weight to compute the SHNN-CAD exception level of the target echoes in the region.Finally,the possible SST can be detected by controlling the exception level value.The simulation results verity the effectiveness of the proposed algorithm.
作者
朱源才
王红
谭贤四
曲智国
董宇辉
ZHU Yuancai;WANG Hong;TAN Xiansi;QU Zhiguo;DONG Yuhui(Air Force Early Warning Academy,Wuhan 430019,China)
出处
《雷达科学与技术》
北大核心
2018年第6期639-644,共6页
Radar Science and Technology
基金
博士后科学基金(No.2014M562562)
国家自然科学基金(No.61401504)
关键词
慢小目标
目标回波检测
图像处理
异常程度值
slow and small target(SST)
target echo detection
image processing
exception level value
