幅度信息辅助的海面低空多目标多假设跟踪算法  

Amplitude Information Aided Multiple Hypothesis Tracking Algorithm for Low Altitude Marine Multi-target at Sea

作　　者：马艳琴[1] 陆耀宾[1] 李向前 马永林 MA Yanqin;LU Yaobin;LI Xiangqian;MA Yonglin(Nanjing Research Institute of Electronics Technology,Nanjing Jiangsu 210039,China;School of Electronic and Information Engineering,Beihang University,Beijing 100191,China;The Unit 31001 of PLA,Beijing 100095,China)

机构地区：[1]南京电子技术研究所,江苏南京210039 [2]北京航空航天大学电子信息工程学院,北京100191 [3]解放军31001部队,北京100095

出　　处：《现代雷达》2024年第3期9-15,共7页Modern Radar

摘　　要：在海面低空多目标跟踪场景下,由于受到海杂波的影响,多假设跟踪算法会生成大量虚假航迹并发生航迹中断。针对此问题,提出一种基于幅度信息辅助的海面低空多目标多假设跟踪算法。首先,算法采用先验的信杂比信息,通过设置幅度门限区分出目标回波量测与杂波量测;然后,利用回波量测的幅度信息修正多假设跟踪算法中的航迹得分,提高数据关联的准确度;最后,针对跟踪处理后出现的航迹中断问题,采用图模型方法实现航迹粘连。仿真实验结果表明,文中提出的算法能够有效降低海杂波的影响,减少虚假航迹与中断航迹的产生。In the low-altitude marine multi-target tracking scenario,due to the influence of sea clutter,the multiple hypothesis tracking(MHT)algorithm will generate a large number of false tracks and cause track interruption.Aim to solve this problem,an amplitude information aided MHT algorithm is proposed in this paper.Firstly,the algorithm uses a priori signal-to-clutter ratio information to distinguish the target measurement and clutter measurement by setting an amplitude gate.Then,the amplitude information of measurement is used to modify the track score in the MHT to improve the accuracy of data association.Finally,to solve the problem of track interruption after tracking processing,the graph model method is used to realize track sticking.Simulation results show that the proposed algorithm can effectively reduce the influence of sea clutter on the MHT,and reduce the generation of false tracks and interrupted tracks.

关 键 词：幅度信息辅助 多假设跟踪 航迹得分 航迹粘连 图模型 

分 类 号：TN953[电子电信—信号与信息处理]