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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks. / Mihaylova, L.; Angelova, D.
13th Conference on Information Fusion (FUSION), 2010 . IEEE, 2010. p. 1-8.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Mihaylova, L & 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, pp. 1-8, 13th International Conference on Information Fusion, Edinburgh, UK, 26/07/10. <http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5712001>

APA

Mihaylova, L., & 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 (pp. 1-8). IEEE. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5712001

Vancouver

Mihaylova L, Angelova D. Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks. In 13th Conference on Information Fusion (FUSION), 2010 . IEEE. 2010. p. 1-8

Author

Mihaylova, L. ; Angelova, D. / Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks. 13th Conference on Information Fusion (FUSION), 2010 . IEEE, 2010. pp. 1-8

Bibtex

@inproceedings{8a74b6ac8f994b2b871c0016dbbd4312,
title = "Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks",
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.",
keywords = "Gibbs sampling, auxiliary particle filtering, localisation, wireless networks",
author = "L. Mihaylova and D. Angelova",
note = "Catalogue number: CFP10FUS-CDR ISBN:978-0-9824438-1-1; 13th International Conference on Information Fusion ; Conference date: 26-07-2010 Through 29-07-2010",
year = "2010",
month = jul,
day = "27",
language = "English",
isbn = "978-0-9824438-1-1",
pages = "1--8",
booktitle = "13th Conference on Information Fusion (FUSION), 2010",
publisher = "IEEE",

}

RIS

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 -