北京航空航天大学学报 ›› 2019, Vol. 45 ›› Issue (8): 1674-1680.doi: 10.13700/j.bh.1001-5965.2018.0612

• 航空科学 • 上一篇    下一篇

多传感器协同识别跟踪多目标管理方法

庞策1, 单甘霖1, 段修生2   

  1. 1. 陆军工程大学石家庄校区 电子与光学工程系, 石家庄 050003;
    2. 石家庄铁道大学 机械工程学院, 石家庄 050043
  • 收稿日期:2018-10-23 出版日期:2019-08-20 发布日期:2019-09-06
  • 通讯作者: 单甘霖 E-mail:shanganlin@163.com
  • 作者简介:庞策 男,博士研究生。主要研究方向:多传感器协同与信息感知;单甘霖 男,博士,教授,博士生导师。主要研究方向:传感器管理、信息融合理论与应用、防空武器系统仿真与应用等。
  • 基金资助:
    国防预研基金(012015012600A2203)

Management method for multiple sensors' recognizing and tracking multiple targets cooperatively

PANG Ce1, SHAN Ganlin1, DUAN Xiusheng2   

  1. 1. Department of Electronic and Optical Engineering, Army Engineering University Shijiazhuang Campus, Shijiazhuang 050003, China;
    2. School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China
  • Received:2018-10-23 Online:2019-08-20 Published:2019-09-06
  • Supported by:
    National Defence Pre-research Foundation (012015012600A2203)

摘要: 针对被跟踪的目标中存在虚假目标的问题,首先建立基于风险理论、贝叶斯理论和证据理论的目标识别模型,在此基础上考虑边跟踪边识别的情况,建立同时考虑目标跟踪和识别性能的风险函数模型。在模型求解过程中,提出一种基于多Agent分布计算理论的分布式算法。仿真实验结果表明:目标识别框架下能够对目标有效识别并及时停止对虚假目标跟踪;提出的传感器方案求解算法具有较好的求解质量和较快的求解速度;本文传感器管理方法能够避免传感器资源浪费,提高对真目标的跟踪效果。

关键词: 传感器管理, 目标识别, 目标跟踪, 风险理论, 多Agent分布计算理论

Abstract: Aimed at the problem that there are false targets among targets being tracked, a target recognition model based on risk theory, Bayesian theory and evidence theory is established firstly. Secondly, the situation of target recognition when the target is being tracked is analyzed, and a risk function model in which both target tracking and recognition are considered at the same time is established. When calculating the sensor management, a distributed algorithm based on distributed computing of multi-Agent is proposed. The simulation experiment results show that:First, targets can be recognized effectively and the tracking progress ends in time once a target is recognized as a false target under the framework of target recognition in this paper; Second, the solution of the algorithm proposed in this paper is better and the calculation speed is faster than other algorithms; Third, the sensor management method in this paper can avoid the waste of sensor resources and improve the tracking effect of real targets.

Key words: sensor management, target recognition, target tracking, risk theory, a distributed algorithm based on distributed computing of multi-Agent

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