On multiple-model extended target multi-Bernoulli filters

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 2016 English Publisher:Elsevier BVJournal:Digital Signal Processing, volume 59, pages 76-85 (issn: 1051-2004,

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Authors: Tong-yang Jiang; Meiqin Liu 0001; Zhen Fan 0001; Senlin Zhang;

doi: 10.1016/j.dsp.2016.08.002

On multiple-model extended target multi-Bernoulli filters

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Abstract

Abstract In this paper, we propose a multiple-model (MM) version of the extended target multi-Bernoulli (ET-MB) filter for estimating multiple maneuvering extended targets. A Gaussian mixture (GM) implementation of the MM-ET-MB filter for linear Gaussian models and a sequential Monte Carlo (SMC) implementation of the MM-ET-MB filter for nonlinear models are presented. Two numerical examples are provided to verify the effectiveness of the MM-ET-MB filter for estimating multiple maneuvering extended targets.

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Zhejiang Ocean University
China (People's Republic of)
China Institute of Electronics
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