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Volume 46 Issue 1
Jan.  2024
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LI Haipeng, NIE Zhaoyang. Underwater Bearing-only Passive Target Tracking Method Based on Area of Uncertainty[J]. Journal of Electronics & Information Technology, 2024, 46(1): 109-117. doi: 10.11999/JEIT230375
Citation: LI Haipeng, NIE Zhaoyang. Underwater Bearing-only Passive Target Tracking Method Based on Area of Uncertainty[J]. Journal of Electronics & Information Technology, 2024, 46(1): 109-117. doi: 10.11999/JEIT230375

Underwater Bearing-only Passive Target Tracking Method Based on Area of Uncertainty

doi: 10.11999/JEIT230375
Funds:  The National Natural Science Foundation of China (62201167), The Natural Science Foundation of Heilongjiang Province (YQ2019D003), Science and Technology Innovation Project Funded by Laoshan Laboratory (LSKJ202205103)
  • Received Date: 2023-05-05
  • Rev Recd Date: 2023-06-03
  • Available Online: 2023-07-10
  • Publish Date: 2024-01-17
  • Considering the underwater acoustic bearings-only passive localization, the current research usually uses the optimal estimation point trace to represent the tracking state of the measured target, but point estimation cannot express directional position error information, resulting in the inability to provide better decision support for the actual battlefield. In view of the above problems, bearing-only underwater target tracking scheme based on Area Of Uncertainty (AOU) containing spatial error information is proposed. Firstly, localization algorithm based on variable weighting analysis is introduced to obtain accurate target position information. The target position is then used as prior knowledge for the AOU construction algorithm. Subsequently, the algorithms for constructing uncertain regions with and without filtering are employed to output the target's position uncertainty area. By statistically analyzing the evaluation metrics of the AOU under different simulation scenarios, the results demonstrate that the target tracking scheme based on AOU can reliably and accurately estimate the target position. It indicates that the proposed target tracking scheme based on uncertain regions can effectively fulfill the task of target tracking, the advantage of this approach lies that the target estimation results include directional position errors and confidence intervals for interval estimation. this provides clear fault-tolerant and judgment regions for subsequent decision-making, This offers enhanced reference value and practical value.
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