Statistical path loss parameter estimation and positioning using RSS measurements
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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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 proceeding › Conference contribution › Scientific › peer-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.2012.6409754APA
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.2012.6409754Vancouver
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.2012.6409754Author
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).
@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 -
