Simultaneous Tracking And Rss Model Calibration By Robust Filtering

J. Manuel Castro-Arvizu,Jordi Vila-Valls,Pau Closas,Juan A. Fernandez-Rubio

2014 48th Asilomar Conference on Signals, Systems and Computers（2014）

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摘要

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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关键词

Kalman filters,RSSI,fading channels,target tracking,Kalman filter,RSS channel model calibration,RSS localization,RSS measurements,interacting multiple model architecture,mobile devices,mobile node tracking problem,numerical simulation,online observation variance estimation,propagation losses,received signal strength localization,robust filtering,shadow fading,two-slope RSS model estimation,

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