Title: Indoor localisation robustness and performance improvement

Authors: Yiming Ji

Addresses: University of South Carolina Beaufort, One University Blvd, Bluffton, SC, 29909, USA

Abstract: This paper studies performance robustness of dynamic indoor localisation systems that use only received signal strength (RSS). We introduce a simple radio distortion method to capture signal perturbations under uncontrolled environments where signal values could be changed dynamically. With the method, we examine several location searching algorithms, including |lateration| and |multidimensional scaling (MDS)| for distance-based systems, as well as |clustering|, |least mean square errors|, |closeness elimination| and |second lowest mean square errors| for the database-based system using two different environments including one regular office building and one underground floor-plan, we observed that |MDS| and |clustering| presented stable and smaller localisation errors under most experimental settings. Of systems studied in this paper, strong experimental evidence also indicated that the signal-location map method, a database-based system, outperforms all distance-based systems in this paper, especially when environment is dynamic or when radio signal values are distorted intentionally.

Keywords: indoor localisation; performance robustness; radio distortion modelling; received signal strength; RSS; lateration; multidimensional scaling; clustering; least mean square errors; signal location map.

DOI: 10.1504/IJCNDS.2011.040979

International Journal of Communication Networks and Distributed Systems, 2011 Vol.7 No.1/2, pp.64 - 80

Published online: 28 Jun 2011 *

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