水下多目标跟踪技术现状与展望

张思宇; 何心怡; 张 驰; 祝 琳; 陈 双

doi:10.11993/j.issn.2096-3920.2018.06.001

水下多目标跟踪技术现状与展望

doi: 10.11993/j.issn.2096-3920.2018.06.001

海军研究院, 北京, 100161

详细信息

作者简介:
张思宇(1992-), 男, 在读硕士, 主要研究方向为鱼雷自导与水声信号处理.

中图分类号: TJ630.34; TN953
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- 文章访问数: 1026
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- 被引次数: 0
出版历程
- 刊出日期: 2018-12-31

Present Situation and Prospect of Underwater Multi-Target Tracking Technologies

Naval Research Academy, Beijing 100161, China

摘要

摘要: 水下多目标跟踪技术在军事和民用方面均有重要作用, 是军民融合发展中的重点技术。针对水下水文条件复杂、作用距离相对较小等不利因素, 文中根据跟踪滤波算法原理的不同, 分别论述了基于数据关联的水下多目标跟踪技术和基于随机有限集的水下多目标跟踪技术, 详细阐述了其目标运动模型、跟踪滤波方法和应用现状, 梳理了在水下实现多目标跟踪关键的数据关联技术和随机有限集技术的性能, 分析了由于漏报和虚警导致观测信息的不确定、跟踪过程中目标数量不确定和运动状态以及跟踪算法实时性差等3类技术瓶颈, 突显了建立统一的随机有限集框架描述跟踪问题解决该类瓶颈的优势。在此基础上, 根据作战使用和海洋开发的要求, 展望了水下多目标跟踪技术发展方向, 供相关研究人员参考。
- 水下多目标跟踪 /
- 数据关联 /
- 随机有限集
Abstract: Aiming at the unfavorable factors, such as the complexity of underwater hydrological conditions and the relatively small action distance, the key underwater multi-target tracking technologies based on respective data association and random finite set are discussed according to different principles of tracking filtering algorithms. The target motion models, tracking filtering algorithms and its applications status are expounded. The performances of two multi-target tracking technologies are analyzed. Three kinds of technical bottlenecks are analyzed, including the uncertainty of observation information due to failing to report and false alarm, the uncertainty of target number and motion state change in tracking process, and the poor real-time performance of tracking algorithm. The advantages of establishing a unified random finite set framework to describe the tracking problem and solve these bottlenecks are emphasized. Further, according to the requirements of operational application and ocean development, the development direction of underwater multi-target tracking technology is prospected to provide a reference for relevant researchers.
- underwater multi-target tracking /
- data association /
- random finite set

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