Continuous space estimation: Increasingwifi-based indoor localization resolution without increasing the site-survey effort

Noelia Hernández; Manuel Ocaña; Jose M. Alonso; Euntai Kim

doi:10.3390/s17010147

Continuous space estimation: Increasingwifi-based indoor localization resolution without increasing the site-survey effort

Noelia Hernández, Manuel Ocaña, Jose M. Alonso, Euntai Kim

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

71 Citations (Scopus)

Abstract

Although much research has taken place inWiFi indoor localization systems, their accuracy can still be improved. When designing this kind of system, fingerprint-based methods are a common choice. The problem with fingerprint-based methods comes with the need of site surveying the environment, which is effort consuming. In this work, we propose an approach, based on support vector regression, to estimate the received signal strength at non-site-surveyed positions of the environment. Experiments, performed in a real environment, show that the proposed method could be used to improve the resolution of fingerprint-based indoor WiFi localization systems without increasing the site survey effort.

Original language	English
Article number	147
Journal	Sensors (Switzerland)
Volume	17
Issue number	1
DOIs	https://doi.org/10.3390/s17010147
Publication status	Published - 2017 Jan 13

Bibliographical note

Funding Information:
This work has been funded by TIN2014-56633-C3-3-R (ABS4SOWproject) from the Ministerio de Economía y Competitividad and the University of Alcalá Postdoctoral Research program (30400M000.541A.640.17).

Publisher Copyright:
© 2017 by the authors; licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

Analytical Chemistry
Information Systems
Biochemistry
Atomic and Molecular Physics, and Optics
Instrumentation
Electrical and Electronic Engineering

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10.3390/s17010147

Cite this

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abstract = "Although much research has taken place inWiFi indoor localization systems, their accuracy can still be improved. When designing this kind of system, fingerprint-based methods are a common choice. The problem with fingerprint-based methods comes with the need of site surveying the environment, which is effort consuming. In this work, we propose an approach, based on support vector regression, to estimate the received signal strength at non-site-surveyed positions of the environment. Experiments, performed in a real environment, show that the proposed method could be used to improve the resolution of fingerprint-based indoor WiFi localization systems without increasing the site survey effort.",

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Continuous space estimation: Increasingwifi-based indoor localization resolution without increasing the site-survey effort

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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