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AApmbm_t.c.li@nwpu.edu.cn.pdf (253.71 kB)

Best Fit of Mixture For Distributed Poisson Multi-Bernoulli Mixture Filtering

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posted on 23.05.2020 by Tiancheng Li, Kai Da
The Poisson multi-Bernoulli mixture (PMBM) filter is extended for distributed implementation using a wireless sensor network. At the core of the proposed networking approach, the PMBM posterior is decomposed into two parts corresponding to the undetected and detected targets, respectively. Fusion is motivated to be performed with regard to the latter only which is represented by MBM based on a distributed flooding algorithm for internode communication, which iteratively shares the MBMs between neighbor sensors. Then, a suboptimal “best-fit-ofmixture” principle is followed at each local sensor to find a MBM that best fits the mixture of MBMs aggregated from distinct sensors, leading to an arithmetic average (AA) of these MBMs. We prove the exact closure of the MBM-AA fusion and discuss its sub-optimality and limitations. Simulation demonstrates the effectiveness and limitations of our approach.

Funding

Key Laboratory Foundation of National Defence Technology

Space Science and Technology

Fundamental Research Funds for the Central Universities

History

Email Address of Submitting Author

t.c.li@nwpu.edu.cn

ORCID of Submitting Author

0000-0002-0499-5135

Submitting Author's Institution

Northwestern Polytechnical University

Submitting Author's Country

China

Licence

Exports