Statistical path loss parameter estimation and positioning using RSS measurements

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

doi:10.1109/UPINLBS.2012.6409754

Statistical path loss parameter estimation and positioning using RSS measurements

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

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Abstract

An efficient Bayesian method for off-line estimation of the position and the path loss model parameters of a base station is presented. Two versions of three different on-line positioning methods are tested using real data collected from a cellular network. The tests confirm the superiority of the methods that use the estimated path loss parameter distributions compared to the conventional methods that only use point estimates for the path loss parameters. Taking the uncertainties into account is computationally demanding, but the Gauss–Newton optimization methods 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
Original language	English
Title of host publication	Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS, 3-4 October 2012, Helsinki
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-8
Number of pages	8
ISBN (Electronic)	978-1-4673-1909-6
ISBN (Print)	978-1-4673-1908-9
DOIs	https://doi.org/10.1109/UPINLBS.2012.6409754
Publication status	Published - 2012
Publication type	A4 Article in conference proceedings

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Name	Ubiquitous Positioning, Indoor Navigation and Location-Based Services

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10.1109/UPINLBS.2012.6409754

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 Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS, 3-4 October 2012, Helsinki (pp. 1-8). (Ubiquitous Positioning, Indoor Navigation and Location-Based Services). IEEE. https://doi.org/10.1109/UPINLBS.2012.6409754

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title = "Statistical path loss parameter estimation and positioning using RSS measurements",

abstract = "An efficient Bayesian method for off-line estimation of the position and the path loss model parameters of a base station is presented. Two versions of three different on-line positioning methods are tested using real data collected from a cellular network. The tests confirm the superiority of the methods that use the estimated path loss parameter distributions compared to the conventional methods that only use point estimates for the path loss parameters. Taking the uncertainties into account is computationally demanding, but the Gauss–Newton optimization methods 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 Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS, 3-4 October 2012, Helsinki. Ubiquitous Positioning, Indoor Navigation and Location-Based Services, IEEE, Piscataway, NJ, pp. 1-8. https://doi.org/10.1109/UPINLBS.2012.6409754

Statistical path loss parameter estimation and positioning using RSS measurements. / Nurminen, Henri; Talvitie, Jukka ; Ali-Löytty, Simo et al.

Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS, 3-4 October 2012, Helsinki. Piscataway, NJ : IEEE, 2012. p. 1-8 (Ubiquitous Positioning, Indoor Navigation and Location-Based Services).

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

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T1 - Statistical path loss parameter estimation and positioning using RSS measurements

AU - Nurminen, Henri

AU - Talvitie, Jukka

AU - Ali-Löytty, Simo

AU - Muller, Philipp

AU - Lohan, Elena-Simona

AU - Piche, Robert

AU - Renfors, Markku

N1 - ei ut-numeroa 22.8.2013 Contribution: organisation=mat,FACT1=0.5 Contribution: organisation=tlt,FACT2=0.5 Publisher name: IEEE

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N2 - An efficient Bayesian method for off-line estimation of the position and the path loss model parameters of a base station is presented. Two versions of three different on-line positioning methods are tested using real data collected from a cellular network. The tests confirm the superiority of the methods that use the estimated path loss parameter distributions compared to the conventional methods that only use point estimates for the path loss parameters. Taking the uncertainties into account is computationally demanding, but the Gauss–Newton optimization methods is shown to provide a good approximation with computational load that is reasonable for many real-time solutions.

AB - An efficient Bayesian method for off-line estimation of the position and the path loss model parameters of a base station is presented. Two versions of three different on-line positioning methods are tested using real data collected from a cellular network. The tests confirm the superiority of the methods that use the estimated path loss parameter distributions compared to the conventional methods that only use point estimates for the path loss parameters. Taking the uncertainties into account is computationally demanding, but the Gauss–Newton optimization methods is shown to provide a good approximation with computational load that is reasonable for many real-time solutions.

U2 - 10.1109/UPINLBS.2012.6409754

DO - 10.1109/UPINLBS.2012.6409754

M3 - Conference contribution

SN - 978-1-4673-1908-9

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Nurminen H, Talvitie J , Ali-Löytty S , Muller P , Lohan E-S, Piche R et al. Statistical path loss parameter estimation and positioning using RSS measurements. In Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS, 3-4 October 2012, Helsinki. Piscataway, NJ: IEEE. 2012. p. 1-8. (Ubiquitous Positioning, Indoor Navigation and Location-Based Services). https://doi.org/10.1109/UPINLBS.2012.6409754

Statistical path loss parameter estimation and positioning using RSS measurements

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