Published November 2, 2014
| Version v1
Conference paper
Open
Simultaneous tracking and RSS model calibration by robust filtering
- 1. Universitat Politècnica de Catalunya (UPC)
- 2. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Description
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.
Notes
Grant numbers : This work has been partially supported by the Spanish Ministry of Economy
and Competitiveness project TEC2012-39143 (SOSRAD), and by Generalitat de Catalunya under grant
2014-SGR-1567. © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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