Statistical Path Loss Parameter Estimation and Positioning Using RSS Measurements in Indoor Wireless Networks

Henri Nurminen; Jukka Talvitie; Simo Ali-Löytty; Philipp Muller; Elena-Simona Lohan; Robert Piche; Markku Renfors

doi:10.1109/IPIN.2012.6418856

Statistical Path Loss Parameter Estimation and Positioning Using RSS Measurements in Indoor Wireless Networks

Henri Nurminen, Jukka Talvitie, Simo Ali-Löytty, Philipp Muller, Elena-Simona Lohan, Robert Piche, Markku Renfors

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

48 Citations (Scopus)

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Abstract

A Bayesian method for dynamical off-line estimation of the position and path loss model parameters of a WLAN access point is presented. Two versions of three different on-line positioning methods are tested using real data. The tests show that the methods that use the estimated path loss parameter distributions with finite precisions outperform the methods that only use point estimates for the path loss parameters. They also outperform the coverage area based positioning method and are comparable in accuracy with the fingerprinting method. Taking the uncertainties into account is computationally demanding, but the Gauss–Newton optimization method is shown to provide a good approximation with computational load that is reasonable for many real-time solutions.

Translated title of the contribution	Statistical Path Loss Parameter Estimation and Positioning Using RSS Measurements in Indoor Wireless Networks
Original language	English
Title of host publication	International Conference on Indoor Positioning and Indoor Navigation, IPIN, 13-15 November 2012, 13-15 November 2012, Sydney, Australia
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-9
Number of pages	9
ISBN (Electronic)	978-1-4673-1954-6
ISBN (Print)	978-1-4673-1955-3
DOIs	https://doi.org/10.1109/IPIN.2012.6418856
Publication status	Published - 2012
Publication type	A4 Article in conference proceedings

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Name	International Conference on Indoor Positioning and Indoor Navigation

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10.1109/IPIN.2012.6418856

Nurminen statistical path loss parameter estimation
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Nurminen, H., Talvitie, J., Ali-Löytty, S., Muller, P., Lohan, E.-S., Piche, R., & Renfors, M. (2012). Statistical Path Loss Parameter Estimation and Positioning Using RSS Measurements in Indoor Wireless Networks. In International Conference on Indoor Positioning and Indoor Navigation, IPIN, 13-15 November 2012, 13-15 November 2012, Sydney, Australia (pp. 1-9). (International Conference on Indoor Positioning and Indoor Navigation). IEEE. https://doi.org/10.1109/IPIN.2012.6418856

Nurminen, Henri ; Talvitie, Jukka ; Ali-Löytty, Simo et al. / Statistical Path Loss Parameter Estimation and Positioning Using RSS Measurements in Indoor Wireless Networks. International Conference on Indoor Positioning and Indoor Navigation, IPIN, 13-15 November 2012, 13-15 November 2012, Sydney, Australia. Piscataway, NJ : IEEE, 2012. pp. 1-9 (International Conference on Indoor Positioning and Indoor Navigation).

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title = "Statistical Path Loss Parameter Estimation and Positioning Using RSS Measurements in Indoor Wireless Networks",

abstract = "A Bayesian method for dynamical off-line estimation of the position and path loss model parameters of a WLAN access point is presented. Two versions of three different on-line positioning methods are tested using real data. The tests show that the methods that use the estimated path loss parameter distributions with finite precisions outperform the methods that only use point estimates for the path loss parameters. They also outperform the coverage area based positioning method and are comparable in accuracy with the fingerprinting method. Taking the uncertainties into account is computationally demanding, but the Gauss–Newton optimization method is shown to provide a good approximation with computational load that is reasonable for many real-time solutions.",

author = "Henri Nurminen and Jukka Talvitie and Simo Ali-L{\"o}ytty and Philipp Muller and Elena-Simona Lohan and Robert Piche and Markku Renfors",

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Nurminen, H, Talvitie, J , Ali-Löytty, S , Muller, P , Lohan, E-S , Piche, R & Renfors, M 2012, Statistical Path Loss Parameter Estimation and Positioning Using RSS Measurements in Indoor Wireless Networks. in International Conference on Indoor Positioning and Indoor Navigation, IPIN, 13-15 November 2012, 13-15 November 2012, Sydney, Australia. International Conference on Indoor Positioning and Indoor Navigation, IEEE, Piscataway, NJ, pp. 1-9. https://doi.org/10.1109/IPIN.2012.6418856

Statistical Path Loss Parameter Estimation and Positioning Using RSS Measurements in Indoor Wireless Networks. / Nurminen, Henri; Talvitie, Jukka ; Ali-Löytty, Simo et al.
International Conference on Indoor Positioning and Indoor Navigation, IPIN, 13-15 November 2012, 13-15 November 2012, Sydney, Australia. Piscataway, NJ: IEEE, 2012. p. 1-9 (International Conference on Indoor Positioning and Indoor Navigation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AU - Piche, Robert

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AB - A Bayesian method for dynamical off-line estimation of the position and path loss model parameters of a WLAN access point is presented. Two versions of three different on-line positioning methods are tested using real data. The tests show that the methods that use the estimated path loss parameter distributions with finite precisions outperform the methods that only use point estimates for the path loss parameters. They also outperform the coverage area based positioning method and are comparable in accuracy with the fingerprinting method. Taking the uncertainties into account is computationally demanding, but the Gauss–Newton optimization method is shown to provide a good approximation with computational load that is reasonable for many real-time solutions.

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Nurminen H, Talvitie J , Ali-Löytty S , Muller P , Lohan ES , Piche R et al. Statistical Path Loss Parameter Estimation and Positioning Using RSS Measurements in Indoor Wireless Networks. In International Conference on Indoor Positioning and Indoor Navigation, IPIN, 13-15 November 2012, 13-15 November 2012, Sydney, Australia. Piscataway, NJ: IEEE. 2012. p. 1-9. (International Conference on Indoor Positioning and Indoor Navigation). doi: 10.1109/IPIN.2012.6418856

Statistical Path Loss Parameter Estimation and Positioning Using RSS Measurements in Indoor Wireless Networks

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