The Improvement of RSS-based Location Fingerprint Technology for Cellular Networks

Abstract

The multipath propagation in the cellular nets can cause large fluctuations of the base stations' (BSs) RSS which detected by the mobile stations (MSs).The movement of mobile stations and the changes of environment will aggravate the fluctuations of RSS. There is a possibility that RSS values appear outliers during the process from its examination by mobile stations to its transfer to the positioning service of network. Therefore, in order to improve the location accuracy, the RSS-based location fingerprint algorithm for cellular nets requires stable and reliable RSS source data. So, this paper puts forward a kind of parameters filter algorithm named Sliding Correlation Time Window to reduce the fluctuation range of RSS values and to improve the location accuracy of cellular nets fingerprint positioning system. The processing results of actual data show that the smoothing algorithm improves the positioning accuracy obviously.