Modeling, real-time estimation, and identification of UWB indoor wireless channels

Mohammed M. Olama, Seddik M. Djouadi, Yanyan Li, Aly Fathy

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish
Article number467670
JournalInternational Journal of Antennas and Propagation
Volume2013
DOIs
StatePublished - 2013

Funding

FundersFunder number
Directorate for Engineering1334094

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