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RSS-Based Indoor Positioning with Weighted Iterative Nonlinear Least Square Algorithm

Authors:
Veli Ilci
V. Engin Gulal
Huseyin Cizmeci
Mustafa Cosar
Reha Metin Alkan

Keywords: Indoor positioning; RSS; signal propagation model; weighted least square; Wi-Fi; 2.4 GHz.

Abstract:
In recent years, researches on indoor positioning have become one of the most studied subject. This paper presents a real-time Wi-Fi-based indoor localization system using 2.4 GHz Wi-Fi signals. This experiment consists of two main phases. In the first phase, establishing a relationship between the received signal strength and the distance via signal propagation model, the distances between the mobile devices and the access points were determined using the log-distance path loss model. In the second stage, coordinates of the mobile device were estimated using weighted iterative nonlinear least square algorithm. This system runs on mobile devices in real time at line-of-sight indoor environments.

Pages: 106 to 109

Copyright: Copyright (c) IARIA, 2016

Publication date: November 13, 2016

Published in: conference

ISSN: 2308-4219

ISBN: 978-1-61208-514-2

Location: Barcelona, Spain

Dates: from November 13, 2016 to November 17, 2016