Multi-sensor Poisson multi-Bernoulli filter based on partitioned measurements

IET Radar, Sonar & Navigation(2020)

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摘要
The single-sensor Poisson multi-Bernoulli (MB) mixture (PMBM) filter has been developed for multi-target tracking (MTT). However, there is a lack of research on the multi-sensor (MS) extensions of this filter. Because the conjugate density of PMBM filter is a hybrid form, which makes it difficult to extend directly using existing methods. In this study, a general MS Poisson MB filter based on an M...
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关键词
Bayes methods,filtering theory,Gaussian processes,sampling methods,target tracking
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