Volume 45 Issue 7
Jul.  2019
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DU Mingyang, BI Daping, PAN Jifei, et al. Maneuvering group target tracking algorithm with adaptive correlation gate[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(7): 1435-1443. doi: 10.13700/j.bh.1001-5965.2018.0668(in Chinese)
Citation: DU Mingyang, BI Daping, PAN Jifei, et al. Maneuvering group target tracking algorithm with adaptive correlation gate[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(7): 1435-1443. doi: 10.13700/j.bh.1001-5965.2018.0668(in Chinese)

Maneuvering group target tracking algorithm with adaptive correlation gate

doi: 10.13700/j.bh.1001-5965.2018.0668
Funds:

National Natural Science Foundation of China 61671453

Natural Science Foundation of Anhui Province, China 1608085MF123

More Information
  • Corresponding author: BI Daping, E-mail: bdpeei@163.com
  • Received Date: 20 Nov 2018
  • Accepted Date: 16 Feb 2019
  • Publish Date: 20 Jul 2019
  • A new maneuvering group target tracking algorithm based on adaptive correlation gate for solving measurement loss and increasing estimation error of centroid group tracking (CGT) algorithm when tracking maneuvering group target in clutter is proposed in this paper. First, CGT algorithm is combined with interacting multiple model (IMM) algorithm and the latest measurement information is used to modify the transition probability matrix. Second, a new adaptive correlation gate is designed when tracking overall and split maneuvering by the covariance of model innovation to guarantee valid measurements existing in the gate. The simulation results show that the proposed algorithm decreases the estimated error of traditional IMM algorithm with fixed transition probability matrix and increases the probability of dominant model from 0.58 to 0.7 on the one hand. On the other hand, the loss-target rate of adaptive gate designed in this paper is reduced by 30% compared to traditional gate on account of decreasing valid measurement during target maneuvering. The proposed algorithm has a certain practical value in engineering.

     

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