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

Mihaylova, L. and Angelova, D. (2010) Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks. In: 13th Conference on Information Fusion (FUSION), 2010. IEEE, Edinburgh, UK, pp. 1-8. ISBN 978-0-9824438-1-1

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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.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
Catalogue number: CFP10FUS-CDR ISBN:978-0-9824438-1-1
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
ID Code:
33958
Deposited By:
Deposited On:
05 Aug 2010 08:37
Refereed?:
Yes
Published?:
Published
Last Modified:
07 Jan 2020 03:17