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

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

Research output: Contribution to journalArticle

31 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 languageEnglish
Article number147
JournalSensors (Switzerland)
Volume17
Issue number1
DOIs
Publication statusPublished - 2017 Jan 13

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estimates
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All Science Journal Classification (ASJC) codes

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

Cite this

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Continuous space estimation : Increasingwifi-based indoor localization resolution without increasing the site-survey effort. / Hernández, Noelia; Ocaña, Manuel; Alonso, Jose M.; Kim, Euntai.

In: Sensors (Switzerland), Vol. 17, No. 1, 147, 13.01.2017.

Research output: Contribution to journalArticle

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