Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels. (2nd December 2013)

• Record Type: Journal Article
• Authors: Olama, Mohammed M.; Djouadi, Seddik M.; Li, Yanyan; Fathy, Aly
• Other Names: Bo Ai Academic Editor.
• Is Part Of: International journal of antennas and propagation. Volume 2013(2013)
• Publication Date: 2013-12-02
• Subjects: Electronic apparatus and appliances -- Periodicals; Antennas (Electronics) -- Periodicals; Radio wave propagation -- Periodicals; Antennes (Électronique); Ondes radioélectriques -- Propagation; Antennas (Electronics); Electronic apparatus and appliances; Radio wave propagation; Electronic journals; Periodicals; 621.382405
• DOI: 10.1155/2013/467670
• Languages: English
• ISSNs: 1687-5869

Abstract

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.