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Ultra-Wideband technology provides accurate localization in indoor environments using time-of-arrival based ranging techniques; however, the positioning accuracy is degraded by non-line-of-sight conditions. In this work, the relation between the non-line-of-sight path length error and the obstacles on the path from transmitter to receiver is used as input to a new positioning algorithm to correct...
The article presents an easy to implement approach for indoor localization and navigation that combines Bayesian filtering with support vector machine classifiers to associate high-dimensionality cellular telephone network received signal strength fingerprints to distinct spatial regions. The technique employs a “space sampling” and a “time sampling” scheme in the training procedure, and the Bayesian...
The article presents an indoor localization scheme for mobile devices based on GSM Received Signal Strength fingerprints combined with embedded sensor information and an area site map. Displacements of a mobile user are first estimated using a sensor dead-reckoning approach that adapts stride length to different users and environments, and a dynamically switched orientation estimation scheme responding...
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