基于时域特性的非相参雷达目标检测与跟踪  

Incoherent radar target detection and tracking with temporal features

作　　者：陈唯实 

机构地区：[1]中国民航科学技术研究院机场研究所,北京100028

出　　处：《系统工程与电子技术》2016年第8期1800-1807,共8页Systems Engineering and Electronics

基　　金：民航科技项目(MHRDZ201125);国家重点研发计划(2016YFC0800406)资助课题

摘　　要：将跟踪雷达的目标检测策略应用于搜索雷达数据处理,提升对复杂低空空域非相参雷达图像中小弱目标的检测与跟踪能力。首先,根据跟踪目标的生命周期等时域特性,修正"最优分类面"中目标预估位置邻域内的分割阈值,以提高目标检测灵敏度。然后,利用杂波在雷达图像序列中的时域特性进一步修正"最优分类面",剔除剩余杂波。最后,将本算法与已经实现的基于空域特性的杂波抑制算法相结合,分别应用于仿真和实测数据,并采用多种方法评价检测结果。检测结果表明,本算法能够在提高检测率的同时,进一步降低虚警率。The target detection strategy of tracking radar is applied to the data processing of the searching radar to improve the detection and tracking capability of small dim targets in the incoherent radar images within complex low-altitude airspace.Firstly,according to the temporal features of the tracking targets＇ life cycle,the threshold values in the optimal classification plane are modified in the neighborhood of the predicted positions to improve the detection sensitivity.Then,the optimal classification plane is further modified by taking advantage of the temporal features of clutters in radar image sequence,rejecting the remained clutter.Finally,the proposed algorithm is combined with the algorithm for clutter suppression with spatial features achieved in the previous research,and applied to the simulated data as well as the ground-truth data,with several criteria to evaluate the detection results.It is demonstrated that the proposed metho could decrease the false alarm rate in the premise of guaranteeing higher detection rate.

关 键 词：雷达 跟踪 杂波 检测率 虚警率 

分 类 号：TN957[电子电信—信号与信息处理]