skip to main content


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

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.
 [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:
Grant/Contract Number:
Published Article
Journal Name:
International Journal of Antennas and Propagation
Additional Journal Information:
Journal Volume: 2013; Related Information: CHORUS Timestamp: 2016-08-18 14:44:06; Journal ID: ISSN 1687-5869
Hindawi Publishing Corporation
Sponsoring Org:
Country of Publication:
Country unknown/Code not available
OSTI Identifier: