Volume 12 Issue 1
Feb.  2023
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ZENG Yajun, WANG Jun, WEI Shaoming, et al. Review of the method for distributed multi-sensor multi-target tracking[J]. Journal of Radars, 2023, 12(1): 197–213. doi: 10.12000/JR22111
Citation: ZENG Yajun, WANG Jun, WEI Shaoming, et al. Review of the method for distributed multi-sensor multi-target tracking[J]. Journal of Radars, 2023, 12(1): 197–213. doi: 10.12000/JR22111
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Review of the Method for Distributed Multi-sensor Multi-target Tracking

DOI: 10.12000/JR22111

  • School of Electronic and Information Engineering, Beihang University, Beijing 100191, China

Funds:  The National Natural Science Foundation of China (62171029, 61671035), The Pre-research Foundation (61404130122), The Key Laboratory Foundation (6142502180103), The Ministry of Education’s Industry-University Cooperation and Collaborative Education Project (202101105001)
More Information
  • Corresponding author: WEI Shaoming, shaoming.wei@buaa.edu.cn
  • Received Date: 2022-06-08
  • Accepted Date: 2022-08-02
  • Rev Recd Date: 2022-08-02
    • Available Online: 2022-08-05
  • Publish Date: 2022-08-15
    Abstract
  • Multi-sensor multi-target tracking is a popular topic in the field of information fusion. It improves the accuracy and stability of target tracking by fusing multiple local sensor information. By the fusion system, the multi-sensor multi-target tracking is grouped into distributed fusion, centralized fusion, and hybrid fusion. Distributed fusion is widely applied in the military and civilian fields with the advantages of strong reliability, high stability, and low requirements on network communication bandwidth. Key techniques of distributed multi-sensor multi-target tracking include multi-target tracking, sensor registration, track-to-track association, and data fusion. This paper reviews the theoretical basis and applicable conditions of these key techniques, highlights the incomplete measurement spatial registration algorithm and track association algorithm, and provides the simulation results. Finally, the weaknesses of the key techniques of distributed multi-sensor multi-target tracking are summarized, and the future development trends of these key techniques are surveyed.

     

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