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Probabilistic soft-range estimator for wireless localization in indoor scenarios

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2 Author(s)
Timo Dammes ; Commun. Technol. Inst., Tech. Univ. Dortmund, Dortmund, Germany ; Ruediger Kays

Currently, ultra-wideband develops towards a suitable technology for wireless indoor localization with sub-meter accuracy. Still, the indoor channel complicates the correct interpretation of the measurement especially in non-line-of-sight scenarios. This paper deals with the range estimation in challenging indoor channels as a first step of robust indoor localization. Contrary to the classical hard-decision range estimators, we propose a soft-range estimator which outputs a direct-path probability density function with multiple possible distances and corresponding likelihoods. The proposed method is evaluated based on wideband channel measurements and compared with common state-of-the-art threshold methods.

Published in:

Ubiquitous Positioning, Indoor Navigation, and Location Based Service (UPINLBS), 2012

Date of Conference:

3-4 Oct. 2012