Signal Attenuation Modelling in WLAN Positioning

Lines, T. and Basiri, A. (2019) Signal Attenuation Modelling in WLAN Positioning. In: XXXV Finnish URSI Convention on Radio Science, Tampere, Finland, 18 Oct 2019,

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Wireless Local Area Networks (WLAN), as the most widely used indoor positioning technology, can localise users by measuring the Received Signal Strength (RSS) from multiple Access Points (AP). The challenges of this approach are that measuring RSS can be easily affected by several parameters, including how the users hold the device, e.g. device orientation, and that accurate maps of RSS are required. This paper (A) introduces a bell-curve model of signal attenuation from orientation, allowing more accurate RSS measurement, and (B) identifies collinearity issues with a path-loss model used to automatically create RSS maps, suggesting a simpler and more robust alternative.

Item Type:Conference Proceedings
Additional Information:Work presented in this paper has been partially funded by the UK Research and Innovation (UKRI) Future Leaders Fellowship MR/S01795X/1 for University College London.
Glasgow Author(s) Enlighten ID:Lines, Mr Terence and Basiri, Professor Ana
Authors: Lines, T., and Basiri, A.
College/School:College of Science and Engineering > School of Geographical and Earth Sciences
Copyright Holders:Copyright © 2019 The Authors
First Published:First published in Proceedings of the XXXV Finnish URSI Convention on Radio Science 2019
Publisher Policy:Reproduced under a Creative Commons License
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