Received Signal Strength Based Least Squares Lateration Algorithm for Indoor Localization
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Date
2018
Authors
Dağ, Tamer
Arsan, Taner
Journal Title
Journal ISSN
Volume Title
Publisher
Pergamon-Elsevier Science Ltd
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
Keywords
Indoor positioning, Received signal strength, Triangulation, Lateration, Least squares approximation, Access point, Least squares approximation, Indoor positioning, Lateration, Received signal strength, Triangulation, Access point
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
29
Source
Computers & Electrical Engineering
Volume
66
Issue
Start Page
114
End Page
126
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Citations
CrossRef : 4
Scopus : 39
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Mendeley Readers : 37
SCOPUS™ Citations
40
checked on Feb 13, 2026
Web of Science™ Citations
31
checked on Feb 13, 2026
Page Views
4
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