Target State Collaboration and Intelligent Perception

Classification information-assisted adaptive target detection and tracking method

  • Enchun MA ,
  • Xianglong BAI ,
  • Quan PAN ,
  • Zengfu WANG
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  • 1.School of Automation,Northwestern Polytechnical University,Xi’an 710129,China
    2.Key Laboratory of Information Fusion Technology,Ministry of Education,Xi’an 710129,China

Received date: 2024-11-20

  Revised date: 2024-12-19

  Accepted date: 2025-01-10

  Online published: 2025-02-21

Supported by

National Natural Science Foundation of China(62233014)

Abstract

To address the challenges of target omission and data association errors in radar multi-target detection and tracking in cluttered environments, we respectfully propose a framework that integrates joint classification information, target detection, and target tracking. The classification information of targets and clutter based on distance-Doppler spectrum is utilized to assist detection and tracking. In the detection stage, we have designed an adaptive detection method to adjust the detection threshold based on the clutter background where the missed target is located, enabling re-detection. Furthermore, the classification information has the capability to filter the clutter measurements generated by re-detection. In the tracking phase, a neural enhancement message passing algorithm is used to unify the data association and measurement classification module. The Dempster-Shafer rule is used to fuse the probabilistic data association confidence and classification confidence, which may help to better allocate the confidence between different information sources, effectively solve the problem of information conflict, and improve the accuracy of data association. It is thought that this framework could be an effective way of linking classification information, target detection and target tracking. Experimental results combining radar measurement data and simulation data suggest that the proposed method could help avoid the problems of incomplete target tracking caused by target omission and the problem of erroneous shutdown between clutter and target. This method could improve the performance of radar target detection and tracking in cluttered environment.

Cite this article

Enchun MA , Xianglong BAI , Quan PAN , Zengfu WANG . Classification information-assisted adaptive target detection and tracking method[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2026 , 47(3) : 631553 -631553 . DOI: 10.7527/S1000-6893.2025.31553

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