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

Journal Article · Mon Dec 31 23:00:00 EST 2012 · International Journal of Antennas and Propagation

DOI:https://doi.org/10.1155/2013/467670· OSTI ID:1198224

Olama, Mohammed M. ^[1]; Djouadi, Seddik M. ^[2]; Li, Yanyan ^[2]; Fathy, Aly ^[2]

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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

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.

• Sponsoring Organization: USDOE
• Grant/Contract Number: AC05-00OR22725
• OSTI ID: 1198224
• Alternate ID(s): OSTI ID: 1108546
• Journal Information: International Journal of Antennas and Propagation, Journal Name: International Journal of Antennas and Propagation Vol. 2013; ISSN 1687-5869
• Publisher: Hindawi Publishing Corporation
• Country of Publication: Country unknown/Code not available
• Language: English