Abstract
This paper presents an alternative detection method in fingerprinting technique for indoor localization and trajectory estimation based on efficient ray-tracing techniques over Wireless Local Area Networks (WLAN). Firstly, the use of radio frequency (RF) power levels and relative time delay is compared as detection method to estimate the localization of a set of mobile stations using the fingerprinting technique. The localization algorithm computes the Euclidean distance between the samples of signals received from each unknown position and each fingerprint stored in the database or radio-map obtained by using the FASPRI simulation tool. Secondly, an indoor trajectory has been simulated and tested by means of ray-tracing techniques. Experimental results shows that more precision can be obtained in the trajectory estimation by means of relative ray delay instead of RF power detection method, enabling the deploy of new applications for critical environments such as airports, where security and safety requirements are strongly involved.
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del Corte, A., Gutierrez, O., Gómez, J.M. (2010). Fingerprinting Location Estimation and Tracking in Critical Wireless Environments Based on Accuracy Ray-Tracing Algorithms. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Rodríguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_33
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DOI: https://doi.org/10.1007/978-3-642-14883-5_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14882-8
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