Simultaneous tracking and RSS model calibration by robust filtering

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...

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Bibliographic Details
Published in2014 48th Asilomar Conference on Signals, Systems and Computers pp. 706 - 710
Main Authors Castro-Arvizu, J. Manuel, Vila-Valls, Jordi, Closas, Pau, Fernandez-Rubio, Juan A.
Format Conference Proceeding Publication
LanguageEnglish
Published IEEE 01.11.2014
Institute of Electrical and Electronics Engineers (IEEE)
Subjects
Calibration
Computational modeling
Enginyeria de la telecomunicació
Estimation
Interferometria
Interferometry
Kalman filters
Mathematical model
Mobile communication
Radar
Radar d'obertura sintètica
Radiocomunicació i exploració electromagnètica
Syntethic aperture radar
Wireless LAN
Àrees temàtiques de la UPC
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Summary: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.
ISBN:1479982989
9781479982981
ISSN:2576-2303
DOI:10.1109/ACSSC.2014.7094539