Sensor Management Architecture of Naval Formations

doi:10.3969/j.issn.1009-086x.2021.01.011

Abstract

Abstract: In the information based maritime battlefield,obtaining information superiority is one of the bases to guarantee the battle victory,and the sensor management is the key link to improve the overall sensor detection efficiency and achieve the information superiority.Firstly,analyzes the management requirements of maritime formation sensors,including the structure,function and management requirements of formation,platform and single sensor.Secondly,the overall architecture of sensor management for maritime formation which adopt a hybrid structure is studied,and the processing flow,input and output,processing principles of planning and real time scheduling,as well as an event driven sensor operational management technical framework are designed,so as to estabilish the top architecture of sensor management for naval formation.

Key words: sensor management, naval formations, planning, real-time scheduling, architecture, event-driven

摘要： 在信息化海战场,获取信息优势是保障作战胜利的基础之一,海上编队传感器管理是提升传感器探测整体效能,从而达成信息优势的关键环节。首先分析了海上编队传感器管理需求,包括组成结构、作用以及编队、平台、传感器各层级的管理需求;其次研究了海上编队传感器管理的总体架构,提出采用混合式的体系结构,设计了事前规划与实时调度2个方面的处理流程、输入输出及处理原则,以及事件驱动的传感器作战管理技术框架,从而建立海上编队传感器管理的顶层架构。

关键词: 传感器管理, 海上编队, 规划, 实时调度, 架构, 事件驱动

CLC Number:

DING Chun-shan, HE Jia-zhou. Sensor Management Architecture of Naval Formations[J]. Modern Defense Technology, 2021, 49(1): 75-83.

丁春山, 何佳洲. 海上编队传感器管理架构研究[J]. 现代防御技术, 2021, 49(1): 75-83.

References

[1] 许斌.浅析警戒探测系统[J].雷达与对抗,2007(3):1-3.
XU Bin.A Brief Study on Surveillance Detection Systems[J].Radar & ECM,2007(3):1-3.
[2] HERO A O,COCHRAN D.Sensor Management:Past,Present,and Future[J].IEEE Sensors Journal,2011,11(12):3064-3075.
[3] MCINTYRE G A.A Comprehensive Approach to Sensor Management and Scheduling[D].Fairfax,USA:University of Colorado,1998.
[4] MUSICK S,MALHOTRA R.Chasing the Elusive Sensor Manager[C]//National Aerospace and Electronics Conference,Dayton,OH,USA,May 23-27,1994:606-613.
[5] 刘同明,夏祖勋,解洪成.数据融合技术及其应用[M].北京:国防工业出版社,1998.
LIU Tong-ming,XIA Zu-xun,XIE Hong-cheng.Data Fusion Technology and Application[M].Beijing:National Defense Industry Press,1998.
[6] JOHNSON B W,GREEN J M.Naval Network-Centric Sensor Resource Management[C]//The 4th Annual Conference on Implementing Network Centric Warfare,April 1,2002:16-20.
[7] BENASKEUR A,IRANDOUST H.Sensor Management for Tactical Surveillance Operations[R].Defence R&D Canada-Valcartier,2007.
[8] BENASKEUR A R,RHÉAUME F.Adaptive Data Fusion and Sensor Management for Military Applications[J].Aerospace Science and Technology,2007,11(4):327-338.
[9] 罗玉臣,周兴林,陈龙,等.海上多平台传感器管理与控制的设计与实现[J].宇航计测技术,2007,27(6):56-60.
LUO Yu-chen,ZHOU Xing-lin,CHEN Long,et al.Design and Implementation of Sensor Management and Control of Multiplatform on the Sea[J].Journal of Astronautic Metrology and Measurement,2007,27(6):56-60.
[10] 陈康,阳东升,李恒峰,等.TCN的海军多平台协同作战传感器管理体系结构[J].火力与指挥控制,2008,33(4):12-15.
CHEN Kang,YANG Dong-sheng,LI Heng-feng,et al.Research on Sensor Management Architecture of Naval Multi-platform Cooperative Engagement based on Tactical Component Network[J].Fire Control and Command Control,2008,33(4):12-15.
[11] 杨海燕,尤政,陈轶.基于Holon控制的协同网络传感器管理体系结构[J].火力与指挥控制,2011,36(7):78-81.
YANG Hai-yan,YOU Zhen,CHEN Yi.Sensor Management Architecture Based on Holon Control in Cooperative Network[J].Fire Control and Command Control,2011,36(7):78-81.
[12] 李益龙,王萍.海上编队传感器管理[J].指挥信息系统与技术,2013,4(5):24-29.
LI Yi-long,WANG Ping.Sensor Management of Naval Formations[J].Command Information System and Technology,2013,4(5):24-29.
[13] 韦广立,宋文宾,陈颖.海战场传感器资源运维管理框架研究[J].舰船电子工程,2016,36(8):8-11.
WEI Guang-li,SONG Wen-bin,CHEN Ying.Sensors Resource Operation Management Framework in Sea-battle Field[J].Ship Electronic Engineering,2016,36(8):8-11.
[14] 官斌,周亦军.海战场传感器管理技术研究[J].舰船电子工程,2016,36(8):64-67.
GUAN Bin,ZHOU Yi-jun.Sensor Management Technology on the Sea Battle Field[J].Ship Electronic Engineering,2016,36(8):64-67.
[15] 王发龙,姜宁.舰载多传感器协同探测资源调度模型构建[J].现代防御技术,2016,44(1):205-212.
WANG Fa-long,JIANG Ning.Construction of Shipboard Multi-Sensor Co-Detection Resource Scheduling Model[J].Modern Defence Technology,2016,44(1):205-212.