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Cardinalized Probability Hypothesis Density Filter

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Target Tracking with Random Finite Sets
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Abstract

Although the PHD filter enjoys the significant advantage of low computational workloads, it potentially assumes that the posterior multi-target distribution approximately conforms with the Poisson distribution.

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Notes

  1. 1.

    It should be noted that the target spawning is not taken into consideration herein. In general, the RFS framework of multi-target filtering includes the target spawning case. Please refer to [63] for specific details. For the CPHD filter that considers the target spawning, refer to [123].

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Wu, W., Sun, H., Zheng, M., Huang, W. (2023). Cardinalized Probability Hypothesis Density Filter. In: Target Tracking with Random Finite Sets. Springer, Singapore. https://doi.org/10.1007/978-981-19-9815-7_5

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