H filtering of a class of multi-rate multi-sensor fusion systems

Yan Liang, Tongwen Chen, Quan Pan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper presents the problem of multi-rate filtering for a class of networked multi-sensor fusion systems: the interested state evolves according to a linear discrete-time model with unknown inputs (UIs); sensors are distributively deployed and their sampling rates are not identical; multi-rate sensor measurements, corrupted by UIs, are subject to stochastic packet dropouts (PDs) in the transmission to a fusion center for state estimation. Through transforming such a multi-rate filtering problem into design of a single-rate unknown input observer with periodical gains under a causality constraint, we turn to design an H filter, whose parameters are determined off-line via an iterative optimization of a set of linear matrix inequalities (LMIs). A numerical example of distributive multi-sensor target tracking is given to illustrate the proposed filter design.

Original languageEnglish
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2699-2704
Number of pages6
ISBN (Print)9781424438716
DOIs
StatePublished - 2009
Event48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai, China
Duration: 15 Dec 200918 Dec 2009

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Country/TerritoryChina
CityShanghai
Period15/12/0918/12/09

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