Box-Particle Labeled Multi-Bernoulli Filter for Multiple Extended Target Tracking
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Date
2016-09
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Referee
Mark
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Společnost pro radioelektronické inženýrství
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Abstract
This paper focuses on real-time tracking of multiple extended targets in clutter based on labeled multi-Bernoulli filter. To address this problem, a novel approach is proposed within the recently presented box-particle framework. Unlike the traditional point-particle approach, the measurements of extended targets are modeled as interval measurements in this work, and the corresponding likelihood function is given based on interval analysis. Then, labeled multi-Bernoulli recursion for extended targets is implemented by box particles, referred to as BP-LMB filter. Furthermore, BP-MM-LMB filter is proposed to better accommodate the uncertainty of target dynamics by integrating the BP-LMB filter with interacting multiple models (IMM) algorithm. Simulations demonstrate that the proposed approach can significantly reduce the number of particles and well track multiple extended targets with less runtime.
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Citation
Radioengineering. 2016 vol. 25, č. 3, s. 527-535. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2016/16_03_0527_0535.pdf
http://www.radioeng.cz/fulltexts/2016/16_03_0527_0535.pdf
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Peer-reviewed
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Published version
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en