Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks
AU - Mihaylova, L.
AU - Angelova, D.
N1 - Catalogue number: CFP10FUS-CDR ISBN:978-0-9824438-1-1
PY - 2010/7/27
Y1 - 2010/7/27
N2 - 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.
AB - 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.
KW - Gibbs sampling
KW - auxiliary particle filtering
KW - localisation
KW - wireless networks
M3 - Conference contribution/Paper
SN - 978-0-9824438-1-1
SP - 1
EP - 8
BT - 13th Conference on Information Fusion (FUSION), 2010
PB - IEEE
T2 - 13th International Conference on Information Fusion
Y2 - 26 July 2010 through 29 July 2010
ER -