Title :
An Indoor Probabilistic Localization Method Using Prior Information
Author :
Bera, Rajesh ; Kirsch, Nicholas J. ; Fu, Tat S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of New Hampshire, Durham, NH, USA
Abstract :
In this paper, we propose a new probabilistic method for determining the position of an unknown node in an indoor environment. Our analysis shows that using a small subset of sensors reduces the error in comparison to larger sets. The best subset of sensors is determined by matching the power received by all of the sensors and comparing it to prior measurements. We present experimental measurements made that show the efficacy of this approach and compare this method to previously published techniques. Our analysis shows that the new method, Prior Measurement Comparison (PMC), yields greater estimation accuracy resulting in lower error.
Keywords :
indoor communication; probability; wireless sensor networks; PMC; error reduction; estimation accuracy; indoor probabilistic localization method; power matching; prior information; prior measurement comparison; unknown node position determination; Estimation; Indoor environments; Measurement uncertainty; Radar tracking; Sensors; Shadow mapping; Wireless sensor networks;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th
Conference_Location :
Las Vegas, NV
DOI :
10.1109/VTCFall.2013.6692097