%0 Journal Article
%T Dynamic path-loss estimation using a particle filter
%A Javier Rodas
%A Carlos J. Escudero Cascon
%J International Journal of Computer Science Issues
%D 2010
%I IJCSI Press
%X The estimation of the propagation model parameters is a main issue in location systems. In these systems, distance estimations are obtained from received signal strength information, which is extracted from received packets. The precision of these systems mainly depends on the proper propagation model selection. In this paper we introduce an algorithm based on Bayesian filtering techniques, which estimate the path-loss exponent of a log-normal propagation model. This estimation is made dynamically and in real time. Therefore, it can track propagation model changes due to environmental changes.
%K path-loss
%K RSS
%K WSN
%K Bluetooth
%K particle filter
%K Bayesian filtering
%K propagation model
%K IJCSI
%U http://www.ijcsi.org/papers/7-3-4-1-5.pdf