FU Yaowen, LONG Jianqian, YANG Wei, “Maneuvering Multi-target Tracking Using the Multi-model Cardinalized Probability Hypothesis Density Filter,” Chinese Journal of Electronics, vol. 22, no. 3, pp. 634-640, 2013,
Citation: FU Yaowen, LONG Jianqian, YANG Wei, “Maneuvering Multi-target Tracking Using the Multi-model Cardinalized Probability Hypothesis Density Filter,” Chinese Journal of Electronics, vol. 22, no. 3, pp. 634-640, 2013,

Maneuvering Multi-target Tracking Using the Multi-model Cardinalized Probability Hypothesis Density Filter

  • Received Date: 2012-02-01
  • Rev Recd Date: 2012-10-01
  • Publish Date: 2013-06-15
  • Tracking an unknown and time-varying number of maneuvering targets is a challenging problem in the presence of noise, clutter, uncertainties in target maneuvers, data association, and detection. To account for this problem, a multi-model extension of the Cardinalized probability hypothesis density (CPHD) filter is proposed in this paper. Additionally, a particle implementation and a Gaussian mixture implementation of the proposed extension are given for generic models and linear Gaussian models, respectively. The effectiveness of the extension is illustrated through Monte Carlo simulation.
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