This study addresses distributed state estimation of jump Markovian systems and its application to tracking of a manoeuvring target by means of a network of heterogeneous sensors and communication nodes. Two novel consensus-based multiple-model filters are presented. Simulation experiments in a tracking case study, involving a strongly manoeuvring target and a sensor network characterised by weak connectivity, demonstrate the superiority of the proposed distributed multiple-mode filters with respect to existing solutions.

Consensus-based multiple-model Bayesian filtering for distributed tracking / G. Battistelli; L. Chisci; C. Fantacci; A. Farina; A. Graziano. - In: IET RADAR, SONAR & NAVIGATION. - ISSN 1751-8784. - STAMPA. - 9:(2015), pp. 401-410. [10.1049/iet-rsn.2014.0071]

Consensus-based multiple-model Bayesian filtering for distributed tracking

BATTISTELLI, GIORGIO;CHISCI, LUIGI;FANTACCI, CLAUDIO;
2015

Abstract

This study addresses distributed state estimation of jump Markovian systems and its application to tracking of a manoeuvring target by means of a network of heterogeneous sensors and communication nodes. Two novel consensus-based multiple-model filters are presented. Simulation experiments in a tracking case study, involving a strongly manoeuvring target and a sensor network characterised by weak connectivity, demonstrate the superiority of the proposed distributed multiple-mode filters with respect to existing solutions.
2015
9
401
410
G. Battistelli; L. Chisci; C. Fantacci; A. Farina; A. Graziano
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/911149
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