Authors
Francesco Bandiera, Angelo Coluccia, Giuseppe Ricci
Publication date
2015/1/30
Journal
IEEE Transactions on signal processing
Volume
63
Issue
7
Pages
1726-1736
Publisher
IEEE
Description
In this paper, we propose a method to localize a wireless and stationary blind node based on received signal strength measurements; the positioning scheme relies on the statistical path loss model. The operating environment is either non-homogeneous, i.e., the attenuation factors of the various links are different, or homogeneous, i.e., all links share one and the same attenuation factor. We introduce a cognitive procedure to circumvent the a priori uncertainty on the actual scenario being in force: the first stage is a properly designed hypothesis test, fed by measurements between anchors, moving along known trajectories, to decide whether or not the environment is homogeneous. Based upon the output of the test, a model-dependent maximum-likelihood localization algorithm is adopted using the measurements made by the blind node and the parameters estimated by the anchors at previous stage. The …
Total citations
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Scholar articles
F Bandiera, A Coluccia, G Ricci - IEEE Transactions on signal processing, 2015