Consensus‐based multiple‐model Bayesian filtering for distributed tracking. Issue 4 (1st April 2015)

• Record Type: Journal Article
• Authors: Battistelli, Giorgio; Chisci, Luigi; Fantacci, Claudio; Farina, Alfonso; Graziano, Antonio
• Is Part Of: IET radar, sonar & navigation. Volume 9:Issue 4(2015)
• Page Start: 401
• Page End: 410
• Publication Date: 2015-04-01
• Subjects: belief networks -- filtering theory -- distributed tracking -- Markov processes -- wireless sensor networks; consensus‐based multiple‐model Bayesian filtering -- distributed tracking -- distributed state estimation -- jump Markovian system -- heterogeneous sensors -- communication nodes -- distributed multiple‐mode filters -- wireless sensor network; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2014.0071
• Languages: English
• ISSNs: 1751-8784

Abstract

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.