Simultaneous tracking and RSS model calibration by robust filtering

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/81159

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
dc.contributor.author	Castro Arvizu, Juan Manuel
dc.contributor.author	Vila Valls, Jordi
dc.contributor.author	Closas, Pau
dc.contributor.author	Fernández Rubio, Juan Antonio
dc.date	2014
dc.identifier.citation	Castro, J., Vila, J., Closas, P., Fernandez, J. Simultaneous tracking and RSS model calibration by robust filtering. A: Conference on Signals, Systems and Computers. "48th Asilomar Conference on Signals, Systems and Computers, 2014: 2-5 Nov. 2014, Pacific Grove, California". Pacific Grove, CA: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 706-710.
dc.identifier.citation	978-1-4799-8298-1
dc.identifier.citation	10.1109/ACSSC.2014.7094539
dc.identifier.uri	http://hdl.handle.net/2117/81159
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7094539&isnumber=7094373
dc.relation	info:eu-repo/grantAgreement/EC/FP7/318306/EU/Network of Excellence in Wireless COMmunications #/NEWCOM#
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
dc.subject	Syntethic aperture radar
dc.subject	Interferometry
dc.subject	Radar d'obertura sintètica
dc.subject	Interferometria
dc.title	Simultaneous tracking and RSS model calibration by robust filtering
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.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.
dc.description.abstract	Peer Reviewed

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