Tampere University of Technology

TUTCRIS Research Portal

A Survey of Parametric Fingerprint-Positioning Methods

Research output: Contribution to journalReview ArticleScientificpeer-review

Standard

A Survey of Parametric Fingerprint-Positioning Methods. / Müller, Philipp; Raitoharju, Matti; Ali-Löytty, Simo; Wirola, Laura; Piche, Robert.

In: Gyroscopy and Navigation, Vol. 7, No. 2, 2016, p. 107-127.

Research output: Contribution to journalReview ArticleScientificpeer-review

Harvard

Müller, P, Raitoharju, M, Ali-Löytty, S, Wirola, L & Piche, R 2016, 'A Survey of Parametric Fingerprint-Positioning Methods', Gyroscopy and Navigation, vol. 7, no. 2, pp. 107-127. https://doi.org/10.1134/S2075108716020061

APA

Vancouver

Author

Müller, Philipp ; Raitoharju, Matti ; Ali-Löytty, Simo ; Wirola, Laura ; Piche, Robert. / A Survey of Parametric Fingerprint-Positioning Methods. In: Gyroscopy and Navigation. 2016 ; Vol. 7, No. 2. pp. 107-127.

Bibtex - Download

@article{b7dbe23bc4364ba0bebb286bf244cecd,
title = "A Survey of Parametric Fingerprint-Positioning Methods",
abstract = "The term fingerprint-based (FP) positioning includes a wide variety of methods for determining a receiver’s position using a database of radio signal strength measurements that were collected earlier at known locations. Nonparametric methods such as the weighted k-nearest neighbor (WKNN) method are infeasible for large-scale mobile device services because of the large data storage and transmission requirements. In this work we present an overview of parametric FP methods that use model-based representations of the survey data. We look at three different groups of parametric methods: methods that use coverage areas, methods that use path loss models, and methods that use Gaussian mixtures. Within each group we study different approaches and discuss their pros and cons. Furthermore, we test the positioning performance of several of the analyzed approaches in different scenarios using real-world WLAN indoor data and compare the results to those of the WKNN method.",
author = "Philipp M{\"u}ller and Matti Raitoharju and Simo Ali-L{\"o}ytty and Laura Wirola and Robert Piche",
note = "ORG=ase,0.8 ORG=mat,0.2",
year = "2016",
doi = "10.1134/S2075108716020061",
language = "English",
volume = "7",
pages = "107--127",
journal = "Gyroscopy and Navigation",
issn = "2075-1087",
publisher = "MAIK Nauka/Interperiodica",
number = "2",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - A Survey of Parametric Fingerprint-Positioning Methods

AU - Müller, Philipp

AU - Raitoharju, Matti

AU - Ali-Löytty, Simo

AU - Wirola, Laura

AU - Piche, Robert

N1 - ORG=ase,0.8 ORG=mat,0.2

PY - 2016

Y1 - 2016

N2 - The term fingerprint-based (FP) positioning includes a wide variety of methods for determining a receiver’s position using a database of radio signal strength measurements that were collected earlier at known locations. Nonparametric methods such as the weighted k-nearest neighbor (WKNN) method are infeasible for large-scale mobile device services because of the large data storage and transmission requirements. In this work we present an overview of parametric FP methods that use model-based representations of the survey data. We look at three different groups of parametric methods: methods that use coverage areas, methods that use path loss models, and methods that use Gaussian mixtures. Within each group we study different approaches and discuss their pros and cons. Furthermore, we test the positioning performance of several of the analyzed approaches in different scenarios using real-world WLAN indoor data and compare the results to those of the WKNN method.

AB - The term fingerprint-based (FP) positioning includes a wide variety of methods for determining a receiver’s position using a database of radio signal strength measurements that were collected earlier at known locations. Nonparametric methods such as the weighted k-nearest neighbor (WKNN) method are infeasible for large-scale mobile device services because of the large data storage and transmission requirements. In this work we present an overview of parametric FP methods that use model-based representations of the survey data. We look at three different groups of parametric methods: methods that use coverage areas, methods that use path loss models, and methods that use Gaussian mixtures. Within each group we study different approaches and discuss their pros and cons. Furthermore, we test the positioning performance of several of the analyzed approaches in different scenarios using real-world WLAN indoor data and compare the results to those of the WKNN method.

U2 - 10.1134/S2075108716020061

DO - 10.1134/S2075108716020061

M3 - Review Article

VL - 7

SP - 107

EP - 127

JO - Gyroscopy and Navigation

JF - Gyroscopy and Navigation

SN - 2075-1087

IS - 2

ER -