Title :
RSSI localisation with sensors placed on the user
Author :
Paolo Barsocchi;Francesco Furfari;Paolo Nepa;Francesco Potortì
Author_Institution :
ISTI-CNR, Pisa Research Area, Italy
Abstract :
We examine the indoor single-room localisation problem while using multiple fixed transmitters (anchors) and multiple mobile receivers placed on the user (mobiles). Anchors transmit a periodic beacon that the mobiles receive and of which they measure the received power level value (RSSI). Using this information only, which requires no specialised hardware, the mobiles estimate the position and orientation of the user. Many methods have been proposed to tackle this problem. In this paper we describe a purely theoretical procedure that aims to evaluate the maximum attainable performance of any real methods using RSSI for localisation purpose. Our analysis we present is based on a fine grid of RSSI values in a room, which are computed via ray-tracing, and a maximum-likelihood approach to localisation. Here we illustrate the performance gains of using multiple mobiles versus using a single one and and the attainable performance of user orientation estimation.
Keywords :
"Mobile communication","Receivers","Computational modeling","Sensors","Position measurement","Wireless sensor networks","Maximum likelihood estimation"
Conference_Titel :
Indoor Positioning and Indoor Navigation (IPIN), 2010 International Conference on
Print_ISBN :
978-1-4244-5862-2
DOI :
10.1109/IPIN.2010.5647868