Open AccessModeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels
Author(s) -
Mohammed M. Olama,
Seddik M. Djouadi,
Yanyan Li,
Aly E. Fathy
Publication year - 2013
Publication title -
international journal of antennas and propagation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.282
H-Index - 37
eISSN - 1687-5877
pISSN - 1687-5869
DOI - 10.1155/2013/467670
Subject(s) - multipath propagation , computer science , wireless , kalman filter , fading , impulse (physics) , channel (broadcasting) , algorithm , nakagami distribution , impulse response , quadrature (astronomy) , electronic engineering , mathematics , telecommunications , engineering , physics , quantum mechanics , artificial intelligence , mathematical analysis
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
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