面向弱小多目标的雷达检测跟踪算法  

A Radar Detection and Tracking Algorithm for Multiple Small and Weak Targets

作　　者：王科治 胡杰民 付连庆[2] WANG Kezhi;HU Jiemin;FU Lianqing(College of Information Science,Zhejiang Sci-Tech University,Hangzhou 310000,China;Southwest China Institute of Electronic Technology,Chengdu 610000,China)

机构地区：[1]浙江理工大学信息学院,杭州310000 [2]中国西南电子技术研究所,成都610000

出　　处：《电光与控制》2022年第6期42-46,共5页Electronics Optics & Control

基　　金：春雨基金(WDZC20205500208)。

摘　　要：弱小多目标的检测与跟踪是雷达探测面临的一个重要技术难点。面向复杂背景下的弱小目标探测,提出了一种新的思路,从3个方面对探测性能进行优化:首先,通过对概率数据关联算法进行改进来实现复杂背景下目标跟踪;其次,通过自适应处理来实现斜视阵条件下非均匀杂波的抑制;最后,通过分析目标隐藏信息来扩大目标跟踪范围,完善目标形态。实验验证了此算法能很好地应用于跟踪波门重合性质的目标,既能使跟踪的精确性得到保障,又能大幅度提升关联速度,能够很好地用于复杂背景下的弱小目标探测。The detection and tracking of multiple small and weak targets is an important technical difficulty in radar detection.A new idea is proposed for the detection of small and weak targets in complex background.The detection performance is optimized from three aspects.Firstly,target tracking in complex background is realized by improving the probabilistic data association algorithm.Secondly,the nonuniform clutter suppression under the condition of the squint array is realized by adaptive processing.Finally,the target tracking range is expanded and the target form is improved by analyzing the target’s hidden information.Experiments show that this algorithm can be well applied to the tracking of targets with the feature of gate coincidence,which can not only guarantee the accuracy of tracking,but also greatly improve the correlation speed,and can be well used in the detection of small and weak targets in complex background.

关 键 词：目标检测和跟踪 概率数据关联算法 非均匀杂波抑制 雷达目标检测 

分 类 号：TN953[电子电信—信号与信息处理]