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Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Publication date27/07/2010
Host publication13th Conference on Information Fusion (FUSION), 2010
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Print)978-0-9824438-1-1
Original languageEnglish

Conference

Conference13th International Conference on Information Fusion
CityEdinburgh, UK
Period26/07/1029/07/10

Conference

Conference13th International Conference on Information Fusion
CityEdinburgh, UK
Period26/07/1029/07/10

Abstract

This paper presents a solution to the problem of self-localisation of mobile nodes in wireless sensor networks with unknown measurement noise characteristics. A Gibbs sampling algorithm estimates the unknown noise parameters followed by localisation of mobile nodes with a multiple model auxiliary particle filter (MM AUX-PF). The performance of the Gibbs sampler and MM AUX-PF is investigated in terms of accuracy and computational complexity using simulated and real received signal strength measurements. We show that the method provides accurate estimation results with complexity suitable for real-time applications.

Bibliographic note

Catalogue number: CFP10FUS-CDR ISBN:978-0-9824438-1-1