未知强杂波下基于DP-TBD的雷达弱目标检测  

Detection method for weak target under unknown strong clutter based on DP-TBD

作　　者：钟雷 李勇[1] 牟之英[2] 程伟[1] 李浩彬 ZHONG Lei;LI Yong;MOU Zhiying;CHENG Wei;LI Haobin(School of Electronic Information,Northwestern Polytechnical University,Xi’an710072,China;China National Aeronautical Radio Electronics Research Institute,Shanghai200233,China)

机构地区：[1]西北工业大学电子信息学院,陕西西安710072 [2]中国航空无线电电子研究所,上海200233

出　　处：《系统工程与电子技术》2019年第1期43-49,共7页Systems Engineering and Electronics

基　　金："十三五"装备预研国防科技重点实验室基金(61425050301)资助课题

摘　　要：实测回波的弱目标检测往往面临复杂杂波环境,如信杂比过低、难以获取信杂比与杂波分布等先验信息,此时基于杂波建模的弱目标检测前跟踪(track-before-detect,TBD)方法会遇到困难。针对上述问题,本文提出一种新的用于未知强杂波实测数据的弱目标检测算法。依据未知分布、边缘环境等特点通过改进的最大值恒虚警进行杂波预处理,通过压缩多普勒-距离二维数据避免多帧积累使杂波在同一分辨单元产生强度叠加,最后在时间-距离空间改进基于动态规划的TBD算法解决多帧联合后杂波在不同距离单元的范围扩展,消除虚警。实验结果表明,本文算法相比常规方法具有更高的检测概率及更低的估计误差。The heterogeneous or complex clutter in real environment is usually encountered by detection of weak target.It may be difficult for track-before-detect(TBD)based on modeling of clutter to detect weak target,when the signal-to-clutter ratio(SCR)is low,or prior information and clutter distribution is difficult to obtain.A new detection algorithm is proposed for real data of unknown strong clutter.The improved greatest-of constant false alarm rate(CFAR)is used to preprocess the clutter according to the features of unknown distribution,clutter edge,etc.Then two-dimensional data of doppler-distance is compressed to avoid accumulation of clutter in the same unit after association of multi-frame.Finally,the dynamic programming-based TBD algorithm is improved in the time-distance space to avoid expansion of clutter in different range units and to eliminate false alarms after jointed multi-frame.Experimental results show that the proposed algorithm has higher detection probability and lower estimation error than conventional TBD methods.

关 键 词：未知杂波 检测前跟踪 动态规划 弱目标 

分 类 号：TN953[电子电信—信号与信息处理]