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Title: Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels

Abstract

Stochastic differential equations (SDEs) are used to model ultrawideband (UWB) indoor wireless channels. We show that the impulse responses for time-varying indoor wireless channels can be approximated in a mean-square sense as close as desired by impulse responses that can be realized by SDEs. The state variables represent the inphase and quadrature components of the UWB channel. The expected maximization and extended Kalman filter are employed to recursively identify and estimate the channel parameters and states, respectively, from online received signal strength measured data. Both resolvable and nonresolvable 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 demonstrating the method’s viability and the results are presented.

Authors:
 [1];  [2];  [2];  [2]
  1. Computational Sciences & Engineering Division, Oak Ridge National Laboratory, P.O. Box 2008, MS 6085, Oak Ridge, TN 37831, USA
  2. Electrical Engineering & Computer Science Department, University of Tennessee, 1520 Middle Drive, Knoxville, TN 37996, USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1198224
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Published Article
Journal Name:
International Journal of Antennas and Propagation
Additional Journal Information:
Journal Name: International Journal of Antennas and Propagation Journal Volume: 2013; Journal ID: ISSN 1687-5869
Publisher:
Hindawi Publishing Corporation
Country of Publication:
Country unknown/Code not available
Language:
English

Citation Formats

Olama, Mohammed M., Djouadi, Seddik M., Li, Yanyan, and Fathy, Aly. Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels. Country unknown/Code not available: N. p., 2013. Web. doi:10.1155/2013/467670.
Olama, Mohammed M., Djouadi, Seddik M., Li, Yanyan, & Fathy, Aly. Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels. Country unknown/Code not available. doi:10.1155/2013/467670.
Olama, Mohammed M., Djouadi, Seddik M., Li, Yanyan, and Fathy, Aly. Tue . "Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels". Country unknown/Code not available. doi:10.1155/2013/467670.
@article{osti_1198224,
title = {Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels},
author = {Olama, Mohammed M. and Djouadi, Seddik M. and Li, Yanyan and Fathy, Aly},
abstractNote = {Stochastic differential equations (SDEs) are used to model ultrawideband (UWB) indoor wireless channels. We show that the impulse responses for time-varying indoor wireless channels can be approximated in a mean-square sense as close as desired by impulse responses that can be realized by SDEs. The state variables represent the inphase and quadrature components of the UWB channel. The expected maximization and extended Kalman filter are employed to recursively identify and estimate the channel parameters and states, respectively, from online received signal strength measured data. Both resolvable and nonresolvable 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 demonstrating the method’s viability and the results are presented.},
doi = {10.1155/2013/467670},
journal = {International Journal of Antennas and Propagation},
number = ,
volume = 2013,
place = {Country unknown/Code not available},
year = {2013},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1155/2013/467670

Citation Metrics:
Cited by: 1 work
Citation information provided by
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