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Content Provider | IEEE Xplore Digital Library |
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Author | Yanyan Li Olama, M. Djouadi, S. Fathy, A. Kuruganti, T. |
Copyright Year | 2009 |
Description | Author affiliation: EECS Department, University of Tennessee, Knoxville, 37996, USA (Yanyan Li; Djouadi, S.; Fathy, A.) || CSED, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA (Olama, M.; Kuruganti, T.) |
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. |
Starting Page | 195 |
Ending Page | 198 |
File Size | 1485674 |
Page Count | 4 |
File Format | |
ISBN | 9781424426980 |
DOI | 10.1109/RWS.2009.4957319 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-01-18 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Stochastic processes Wireless sensor networks Differential equations Ultra wideband technology Parameter estimation Recursive estimation State estimation Signal processing Signal resolution Fading stochastic differential equations UWB communications modeling multipath channels |
Content Type | Text |
Resource Type | Article |
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