Volume 50 Issue 11
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SUN K,HU Q S,ZHENG X F,et al. Multi-Bernoulli extended target tracking based on orientation and half axes lengths of an ellipse[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(11):3367-3376 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0869
Citation: SUN K,HU Q S,ZHENG X F,et al. Multi-Bernoulli extended target tracking based on orientation and half axes lengths of an ellipse[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(11):3367-3376 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0869

Multi-Bernoulli extended target tracking based on orientation and half axes lengths of an ellipse

doi: 10.13700/j.bh.1001-5965.2022.0869
Funds:  National Natural Science Foundation of China (62263007,62061010,62161007); Guangxi Science and Technology Department Project (AA19182007); Supported by Guangxi Key Laboratory of Cryptography and Information Security (GCIS202132); Graduate Innovation Program of School of Mathematics and Computing Science, Guilin University of Electronic Science and Technology (2022YJSCX02); Innovation Project of Guilin University of Electronic Science and Technology Graduate Education (2022YCXS145)
More Information
  • Corresponding author: E-mail:wusunyong121991@163.com
  • Received Date: 30 Oct 2022
  • Accepted Date: 24 Feb 2023
  • Available Online: 21 Apr 2023
  • Publish Date: 14 Apr 2023
  • The problem that the shape of the extended target is hard to estimate and the newborn target's prior information is unknown in the clutter environment is solved in this paper by using the extended targets-cardinality balance multi-target and multi-Bernoulli (ET-CBMeMBer) filter. This parameterized multi-extended target tracking algorithm is based on the orientation and half axes lengths of an ellipse (OAL). Considering the spatial information of the target, an explicit measurement equation is constructed by multiplicative noise, and the closed-form solution implemented by the Gaussian mixture of the OAL-CBMeMBer filter is deduced. Based on the explicit measurement equation, the prior information of the newborn target that considers the position of the centroid and the shape state is adaptively constructed by employing the known measurement data, and the adaptive OAL-CBMeMBer filter is proposed. The proposed OAL-CBMeMBer filter can effectively track numerous extended targets and increases the estimation accuracy of target number and state, according to simulation findings.

     

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