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Statistical path loss parameter estimation and positioning using RSS measurements

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Standard

Statistical path loss parameter estimation and positioning using RSS measurements. / Nurminen, Henri; Talvitie, Jukka; Ali-Löytty, Simo; Muller, Philipp; Lohan, Elena-Simona; Piche, Robert; Renfors, Markku.

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 proceedingConference contributionScientificpeer-review

Harvard

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

APA

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). Piscataway, NJ: IEEE. https://doi.org/10.1109/UPINLBS.2012.6409754

Vancouver

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

Author

Nurminen, Henri ; Talvitie, Jukka ; Ali-Löytty, Simo ; Muller, Philipp ; Lohan, Elena-Simona ; Piche, Robert ; Renfors, Markku. / Statistical path loss parameter estimation and positioning using RSS measurements. Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS, 3-4 October 2012, Helsinki. Piscataway, NJ : IEEE, 2012. pp. 1-8 (Ubiquitous Positioning, Indoor Navigation and Location-Based Services).

Bibtex - Download

@inproceedings{a60bed8417c148d99ffb657e0730dbcf,
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",
note = "ei ut-numeroa 22.8.2013<br/>Contribution: organisation=mat,FACT1=0.5<br/>Contribution: organisation=tlt,FACT2=0.5<br/>Publisher name: IEEE",
year = "2012",
doi = "10.1109/UPINLBS.2012.6409754",
language = "English",
isbn = "978-1-4673-1908-9",
series = "Ubiquitous Positioning, Indoor Navigation and Location-Based Services",
publisher = "IEEE",
pages = "1--8",
booktitle = "Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS, 3-4 October 2012, Helsinki",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

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<br/>Contribution: organisation=mat,FACT1=0.5<br/>Contribution: organisation=tlt,FACT2=0.5<br/>Publisher name: IEEE

PY - 2012

Y1 - 2012

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

T3 - Ubiquitous Positioning, Indoor Navigation and Location-Based Services

SP - 1

EP - 8

BT - Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS, 3-4 October 2012, Helsinki

PB - IEEE

CY - Piscataway, NJ

ER -