LOS/NLOS detection for UWB signals: a comparative study using experimental data

Authors:
Nicolò Decarli;Davide Dardari;Sinan Gezici;Antonio Alberto D'Amico
Affiliations:
WiLAB, DEIS, University of Bologna at Cesena, Cesena, FC, Italy;WiLAB, DEIS, University of Bologna at Cesena, Cesena, FC, Italy;Department of Electrical and Electronics Engineering, Bilkent University, Bilkent, Ankara, Turkey;Department of Information Engineering, University of Pisa, Pisa, Italy
Venue:
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Year:
2010

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Abstract

In this paper the problem of detecting the channel state between LOS and NLOS conditions is addressed using UWB signals. A new distribution-based identification approach is proposed and its performance is compared with that of other classic schemes. To this purpose experimental data collected in realistic environments have been used.