1Localization on IEEE 802.11 Networks

Abstract—In this paper we introduce an innovative technique for local-ization purpose in IEEE 802.11 networks, [1]. Our location algorithm is based on the distance estimation performed by three Base Stations (BSs), employing the triangulation process to calculate the mobile user position. This method results innovative and efficient both for the IEEE802.11 PCF and DCF phases to track the user position at a constant rate according to the user speed. A complete simulation model has been developed to assess the maximum number of users traceable. Then, in the last part of the paper, we investigated the use of an algo-rithm for the time of arrival (ToA) estimation based on the OFDM modula-tion, employed in IEEE 802.11a and 802.11g. We estimated the attenuation and the phase rotation at the receiver side, for each sub-carrier, [2]. Us-ing a Kalman filter, we also evaluated the time of arrival and the distance between two mobile nodes. Index Terms—Network localization, wireless networks, Kalman filter. I