Received signal strength based least squares lateration algorithm for indoor localization

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Date
2018
Authors
Arsan, Taner
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Publisher
Pergamon-Elsevier Science Ltd
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Abstract
Following the success of accurate location estimation for outdoor environments locating targets in indoor environments has become an important research area. Accurate location estimation of targets for indoor environments has the potential for the development of many different applications such as public safety social networking information and mapping services. However the GPS (Global Positioning System) technology used for outdoor environments is not applicable to indoor environments making accurate location estimation a challenging issue for indoor environments. In this paper we propose a received signal strength based least squares lateration algorithm which uses the existing infrastructure. By employing redundancy in the number of access points and applying least squares approximations to the received signal strength values the lateration algorithm increases the accuracy of location estimations. The usage of the existing infrastructure makes the proposed algorithm low cost when compared to other positioning algorithms which need very precise high cost components. (C) 2017 Elsevier Ltd. All rights reserved.
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Keywords
Indoor positioning, Received signal strength, Triangulation, Lateration, Least squares approximation, Access point
Turkish CoHE Thesis Center URL
Citation
29
WoS Q
Q2
Scopus Q
Q1
Source
Volume
66
Issue
Start Page
114
End Page
126