@inproceedings{483b718d45ad4c88854bed299477e04b,
title = "Stochastic UWB wireless channel modeling and estimation from received signal measurements",
abstract = "In this paper, stochastic differential equations (SDEs) are used to model ultra-wideband (UWB) indoor channels. We show that the impulse responses for timevarying wireless channels can be approximated in a mean square sense as close as desired by impulse responses that can be realized by SDEs. The Expected Maximization and Extended Kalman Filter are employed to recursively identify and estimate the channel parameters and states, respectively, from online received signal measurement data. The state variables represent the inphase and quadrature components of the UWB channel. Both resolvable and non-resolvable multipath received signals are considered and represented as small-scaled Nakagami fading. The proposed models together with the estimation algorithm are tested using UWB indoor measurement data and the results are presented.",
keywords = "Modeling, Multipath channels, Stochastic differential equations, UWB communications",
author = "Yanyan Li and Mohammed Olama and Seddik Djouadi and Aly Fathy and Teja Kuruganti",
year = "2009",
doi = "10.1109/RWS.2009.4957319",
language = "English",
isbn = "9781424426997",
series = "RWS 2009 IEEE Radio and Wireless Symposium, Proceedings",
pages = "195--198",
booktitle = "RWS 2009 IEEE Radio and Wireless Symposium, Proceedings",
note = "2009 IEEE Radio and Wireless Symposium, RWS 2009 ; Conference date: 18-01-2008 Through 22-01-2008",
}