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

Tutkimustuotosvertaisarvioitu

Standard

Statistical Path Loss Parameter Estimation and Positioning Using RSS Measurements in Indoor Wireless Networks. / Nurminen, Henri; Talvitie, Jukka; Ali-Löytty, Simo; Muller, Philipp; Lohan, Elena-Simona; Piche, Robert; Renfors, Markku.

International Conference on Indoor Positioning and Indoor Navigation, IPIN, 13-15 November 2012, 13-15 November 2012, Sydney, Australia. Piscataway, NJ : IEEE, 2012. s. 1-9 (International Conference on Indoor Positioning and Indoor Navigation).

Tutkimustuotosvertaisarvioitu

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 Indoor Wireless Networks. julkaisussa 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, Sivut 1-9. https://doi.org/10.1109/IPIN.2012.6418856

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 Indoor Wireless Networks. teoksessa International Conference on Indoor Positioning and Indoor Navigation, IPIN, 13-15 November 2012, 13-15 November 2012, Sydney, Australia (Sivut 1-9). (International Conference on Indoor Positioning and Indoor Navigation). Piscataway, NJ: IEEE. https://doi.org/10.1109/IPIN.2012.6418856

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 Indoor Wireless Networks. julkaisussa International Conference on Indoor Positioning and Indoor Navigation, IPIN, 13-15 November 2012, 13-15 November 2012, Sydney, Australia. Piscataway, NJ: IEEE. 2012. s. 1-9. (International Conference on Indoor Positioning and Indoor Navigation). https://doi.org/10.1109/IPIN.2012.6418856

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 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. Sivut 1-9 (International Conference on Indoor Positioning and Indoor Navigation).

Bibtex - Lataa

@inproceedings{b3bff97985284c2681f4f05292ce1510,
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",
note = "Poistettu tupla r=1749<br/>Contribution: organisation=mat,FACT1=0.5<br/>Contribution: organisation=tlt,FACT2=0.5<br/>Publisher name: IEEE",
year = "2012",
doi = "10.1109/IPIN.2012.6418856",
language = "English",
isbn = "978-1-4673-1955-3",
series = "International Conference on Indoor Positioning and Indoor Navigation",
publisher = "IEEE",
pages = "1--9",
booktitle = "International Conference on Indoor Positioning and Indoor Navigation, IPIN, 13-15 November 2012, 13-15 November 2012, Sydney, Australia",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Statistical Path Loss Parameter Estimation and Positioning Using RSS Measurements in Indoor Wireless Networks

AU - Nurminen, Henri

AU - Talvitie, Jukka

AU - Ali-Löytty, Simo

AU - Muller, Philipp

AU - Lohan, Elena-Simona

AU - Piche, Robert

AU - Renfors, Markku

N1 - Poistettu tupla r=1749<br/>Contribution: organisation=mat,FACT1=0.5<br/>Contribution: organisation=tlt,FACT2=0.5<br/>Publisher name: IEEE

PY - 2012

Y1 - 2012

N2 - 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.

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.

U2 - 10.1109/IPIN.2012.6418856

DO - 10.1109/IPIN.2012.6418856

M3 - Conference contribution

SN - 978-1-4673-1955-3

T3 - International Conference on Indoor Positioning and Indoor Navigation

SP - 1

EP - 9

BT - International Conference on Indoor Positioning and Indoor Navigation, IPIN, 13-15 November 2012, 13-15 November 2012, Sydney, Australia

PB - IEEE

CY - Piscataway, NJ

ER -