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空天防御  2022, Vol. 5 Issue (1): 6-11    
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基于共址MIMO雷达组网系统的机会协同目标跟踪方法
何子述, 苏洋, 程婷
成都电子科技大学 信息与通信工程学院,四川 成都, 611731
Opportunistic Cooperative Target Tracking Algorithm Based on the Co-located MIMO Radar Networking System
HE Zishu, SU Yang, CHENG Ting
University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China
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摘要 基于多输入多输出(multiple-input multiple-output,MIMO)雷达构建的组网系统,继承了MIMO雷达和组网系统的优点,具有重要的研究价值。在MIMO雷达组网系统中,由于系统资源的灵活可控性,组网系统中的子雷达可以根据作战需求协同完成任务。本文针对多目标跟踪应用背景,讨论了如何自适应选取工作时机、机会协同跟踪雷达节点、被激活节点发射能量以及波形种类和参数的联合选取问题。首先,建立MIMO雷达组网系统协同目标跟踪优化问题模型,其中目标函数综合考虑了组网系统资源消耗量以及多目标跟踪精度;随后,通过粒子群方法求解所建立的优化问题模型,获得MIMO雷达组网系统的机会协同目标跟踪算法。仿真结果表明,与非协同方法和其他固定参数跟踪方法相比,采用机会协同跟踪算法的综合代价最小,体现了所提算法的有效性。
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关键词 组网雷达系统共址MIMO机会协同多目标跟踪资源管理    
Abstract:The networking system consisting of multiple-input multiple-output (MIMO) radars, which inherits the merits of both MIMO radar and networking system, has important research value. In the MIMO radar networking system, due to the flexible and controllable system resource, the radar nodes in the network can cooperate with each other to complete certain tasks according to the operational requirements. Aiming at the background of multi-target tracking application, this paper discusses how to adaptively determine the working time, the radar nodes of opportunistic cooperative target tracking, the transmitting energy of the activated radars and waveform types and parameters of each activated radar. Firstly, the cooperative target tracking optimization model is established, in which the objective function considers the resource consumption and the multi-target tracking accuracy comprehensively. Then, the opportunistic cooperative target tracking algorithm is obtained by solving the established model via the particle swarm optimization. Simulation results show that compared with the non-cooperative and other fixed-parameter tracking methods, the comprehensive cost of the proposed tracking algorithm is the lowest, which verifies the effectiveness of the proposed algorithm.
Key wordsradar networking system    co-located MIMO    opportunistic cooperative    multi-target tracking    resource management
收稿日期: 2021-12-25      出版日期: 2022-03-25
ZTFLH:  TN958  
基金资助:国家自然科学基金重点项目(62031007)
作者简介: 何子述(1962—),男,教授,博士生导师,主要研究方向为新体制雷达系统、自适应空时信号处理、干扰与杂波抑制理论与算法、目标检测与参数估计等。
引用本文:   
何子述, 苏洋, 程婷. 基于共址MIMO雷达组网系统的机会协同目标跟踪方法[J]. 空天防御, 2022, 5(1): 6-11.
HE Zishu, SU Yang, CHENG Ting. Opportunistic Cooperative Target Tracking Algorithm Based on the Co-located MIMO Radar Networking System. Air & Space Defense, 2022, 5(1): 6-11.
链接本文:  
https://www.qk.sjtu.edu.cn/ktfy/CN/      或      https://www.qk.sjtu.edu.cn/ktfy/CN/Y2022/V5/I1/6

参考文献
[1] . 基于多视角道路相机的时空关联三维车辆检测与跟踪系统[J]. J Shanghai Jiaotong Univ Sci, 2023, 28(1): 52-60.
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