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Decision fusion for distributed target tracking using cost reference particle filtering

  • Universidad Carlos III de Madrid

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

1 Scopus citations

Abstract

In this paper, we consider the problem of tracking an object which moves along a certain 2-dimensional area monitored by a network of wireless sensors. We propose a novel decision fusion algorithm for target tracking based on a recently proposed sequential Monte Carlo (SMC) methodology called cost-reference particle filtering (CRPF). Computer simulations reveal the feasibility of the proposed method.

Original languageEnglish
Title of host publication13th European Signal Processing Conference, EUSIPCO 2005
StatePublished - 2005
Event13th European Signal Processing Conference, EUSIPCO 2005 - Antalya, Turkey
Duration: Sep 4 2005Sep 8 2005

Publication series

Name13th European Signal Processing Conference, EUSIPCO 2005

Conference

Conference13th European Signal Processing Conference, EUSIPCO 2005
Country/TerritoryTurkey
CityAntalya
Period09/4/0509/8/05

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