Conferences: Simultaneous tracking and RSS model calibration by robust filtering
Castro Arvizu, Vilà Valls, P. Closas Gómez and J. Fernández Rubio

Abstract

Received Signal Strength (RSS) localization is widely
used due to its simplicity and availability in most mobile devices.
The RSS channel model is defined by the propagation losses
and the shadow fading. These parameters might vary over time
because of changes in the environment. In this paper, the problem
of tracking a mobile node by RSS measurements is addressed,
while simultaneously estimating a two-slope RSS model. The
methodology considers a Kalman filter with Interacting Multiple
Model architecture, coupled to an on-line estimation of the
observation’s variance. The performance of the method is shown
through numerical simulations in realistic scenarios.


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