分布式多传感器多目标跟踪方法综述  

Review of the Method for Distributed Multi-sensor Multi-target Tracking

作　　者：曾雅俊 王俊[1] 魏少明[1] 孙进平[1] 雷鹏[1] ZENG Yajun;WANG Jun;WEI Shaoming;SUN Jinping;LEI Peng(School of Electronic and Information Engineering,Beihang University,Beijing 100191,China)

机构地区：[1]北京航空航天大学电子信息工程学院,北京100191

出　　处：《雷达学报（中英文）》2023年第1期197-213,共17页Journal of Radars

基　　金：国家自然科学基金(62171029,61671035);预研基金(61404130122);重点实验室基金(6142502180103);教育部产学合作协同育人项目(202101105001)。

摘　　要：多传感器多目标跟踪是信息融合领域的热点问题,其通过融合多个局部传感器数据,提高目标跟踪精度和稳定性。多传感器多目标跟踪按融合体系可分为分布式、集中式、混合式3类,其中分布式融合结构对网络通信带宽要求低、可靠性和稳定性强,广泛应用于军事、民用领域。该文聚焦分布式多传感器多目标跟踪涉及的目标跟踪、传感器配准、航迹关联、数据融合4项关键技术,主要分析了各关键技术的理论原理与适用条件,重点介绍了不完整测量条件下的空间配准与航迹关联,并给出仿真结果。最后,该文总结了现有分布式多传感器多目标跟踪关键技术存在的问题,并指出了其未来发展趋势。Multi-sensor multi-target tracking is a popular topic in the field of information fusion.It improves the accuracy and stability of target tracking by fusing multiple local sensor information.By the fusion system,the multi-sensor multi-target tracking is grouped into distributed fusion,centralized fusion,and hybrid fusion.Distributed fusion is widely applied in the military and civilian fields with the advantages of strong reliability,high stability,and low requirements on network communication bandwidth.Key techniques of distributed multi-sensor multi-target tracking include multi-target tracking,sensor registration,track-to-track association,and data fusion.This paper reviews the theoretical basis and applicable conditions of these key techniques,highlights the incomplete measurement spatial registration algorithm and track association algorithm,and provides the simulation results.Finally,the weaknesses of the key techniques of distributed multi-sensor multitarget tracking are summarized,and the future development trends of these key techniques are surveyed.

关 键 词：分布式多传感器多目标跟踪 目标跟踪 传感器配准 航迹关联 数据融合 

分 类 号：TN951[电子电信—信号与信息处理] TN957.51[电子电信—信息与通信工程]