Location information is of paramount importance in context aware Ambient Intelligence (AmI), Smart Space, traffic monitoring, surveillance network and cooperative communications services. This paper describes a Positioning determination solution based on wireless local area network (WLAN) signals. Position determination is based on the statistical modeling of the received signal at any position. This paper presents a probabilistic based statistical modeling approach for location estimation which incorporates fusion strategy in final step to combine efficiently the location individually reported by each WLAN transmitter. The system builds a radio map of the environment. The presented system is easier to implement and provide sufficiently good performance under all conditions. The accuracy with the 90% probability is reported to be 1.85 meters where as average error is reported to be 2.1 meters.
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|Titolo:||“Statistical Modelling based probabilistic method for Position estimation in Indoor Environment”|
|Data di pubblicazione:||2005|
|Appare nelle tipologie:||04.01 - Contributo in atti di convegno|