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海上跨域集群水下目标协同追踪:关键技术与展望OA

Underwater Cooperative Target Tracking Using Maritime Cross-Domain Swarms:Key Technologies and Future Perspectives

中文摘要英文摘要

随着海洋开发不断推进,水下目标追踪作为无人集群实现对作业目标持续接近的基础性技术,在海上搜救、海洋监测、海底资源勘探等关键应用中发挥着重要作用.同时,海上跨域集群通过无人机、无人船与无人潜器等异构平台间的信息交互与自主协同,能够在复杂海洋环境中实现对水下目标的高效探测与持续追踪,相比单一水下域集群,其在感知与作业能力的提升等方面具有巨大的潜力.然而,当前水下协同追踪技术仍存在感知测量能力不足、跨域协同机制不完善和环境适应性难以兼顾等挑战.为此,本文首先针对水下目标追踪的发展趋势进行分析;同时,面向追踪过程中定位、跟踪、通信与规划四个基础模块,总结研究难点和挑战,并梳理国内外研究进展;最后,针对联合设计等新颖的研究理念和前沿需求进行探讨,以期为海上跨域集群水下目标追踪技术的发展提供参考.

With the continuous advancement of marine development,underwater target tracking,as a foundational technology,enables continuous navigation of unmanned swarms toward the target and plays a crucial role in vari-ous applications such as maritime search and rescue,ocean monitoring,and seabed resource exploration.Meanwhile,maritime cross-domain swarms composed of heterogeneous platforms,including unmanned aerial,surface,and un-derwater vehicles,demonstrate significant potential in achieving efficient detection and tracking of underwater tar-gets through information interaction and autonomous cooperation,which,compared to underwater single-domain swarms,holds significant potential for improving the effectiveness of perception and operation in complex marine environments.However,current technologies still face challenges including insufficient sensing capabilities,imma-ture cross-domain cooperation mechanisms,and compromised environmental adaptability.To address these issues,this paper first analyzes the development trends of underwater target tracking.Subsequently,focusing on four fun-damental modules,localization,tracking,communcation,and planning,we summarize existing research difficulties and review domestic as well as international research progress.Finally,emerging concepts,such as co-design,and frontier requirements are discussed,aiming to provide references for advancing underwater cooperative target track-ing technologies with cross-domain swarms.

李一辰;关新平;黄沛烁;王布依祎;杨紫雯;于文彬

上海交通大学自动化与感知学院 上海 200240海底科学与划界全国重点实验室 上海 200240系统控制与信息处理教育部重点实验室 上海 200240上海交通大学自动化与感知学院 上海 200240海底科学与划界全国重点实验室 上海 200240系统控制与信息处理教育部重点实验室 上海 200240

跨域集群水下目标协同追踪趋势分析联合设计

cross-domain swarmsunderwater targetcooperative trackingtrend analysisco-design

《自动化学报》 2026 (1)

1-17,17

国家自然科学基金(62203299,62373246),上海交通大学深蓝计划(SL2023MS007),深海载人装备全国重点实验室基金(2024SKLDMV04)资助 Supported by National Natural Science Foundation of China(62203299,62373246),Oceanic Interdisciplinary Program of Shanghai Jiao Tong University(SL2023MS007),and Research Fund of State Key Laboratory of Deep-Sea Manned Vehicles(2024SKLDMV04)

10.16383/j.aas.c250309

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