Improved WiFi Access Point Localization Using RSS Gradient

Mahsa Shafiee, Richard Klukas

Peer Reviewed

Abstract: Due to the wide coverage and availability of WiFi signals in indoor environments, WiFi access point localization has arisen as a promising approach for location awareness. Much research has been dedicated in recent years to effectively locate WiFi access points (APs) within a building. However, many of the proposed methods are not able to provide sufficient accuracy due to the complexity of indoor multipath fading. In this paper, a cost effective and accurate method is developed for AP localization based on received signal strength (RSS) gradient vectors. The proposed algorithm focuses on modifying the observation matrix by detecting and filtering erroneous measurements. Blunders and corrupted observations are determined by calculating measurement residuals. The improved gradient-based method shows superior performance both in terms of position accuracy and robustness in comparison to other similar methods for AP localization. The proposed algorithm, demonstrates low sensitivity to the distribution of measurement points and sparsity of the RSS observation matrix.
Published in: Proceedings of the 2015 International Technical Meeting of The Institute of Navigation
January 26 - 28, 2015
Laguna Cliffs Marriott
Dana Point, California
Pages: 428 - 436
Cite this article: Shafiee, Mahsa, Klukas, Richard, "Improved WiFi Access Point Localization Using RSS Gradient," Proceedings of the 2015 International Technical Meeting of The Institute of Navigation, Dana Point, California, January 2015, pp. 428-436.
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