| Citation: | Yujie WANG, Yu LI, Donghao JU, Haining HUANG. A Multi-target Passive Tracking Algorithm Based on Unmanned Underwater Vehicle[J]. Journal of Electronics & Information Technology, 2020, 42(8): 2013-2020. doi: 10.11999/JEIT190675
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In the passive tracking using acoustic arrays, continuous and stable tracking of targets is important. In complex underwater environments, there are inevitably many trajectory interruptions, outliers, interference and target azimuth crossings in the bearing detection results, due to interference, noise, and arrays aperture limitations. In this paper, a multi-target passive tracking algorithm based on unmanned underwater vehicle is proposed. The particle sampling prediction method based on the motion information of the vehicle is used to perform the interruption prediction. The observation threshold setting method based on the motion information of the vehicle is used to adaptively set the tracking threshold. The block association tracking method is used for association of trajectory break and azimuth cross. The experimental results show that the proposed algorithm achieves correct multi-target tracking.
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