Simultaneous tracking and RSS model calibration by robust filtering
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
European Commisision's projectNEWCOM# - Network of Excellence in Wireless COMmunications # (EC-FP7-318306)
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.
CitationCastro, 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.
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