Recursive estimation and identification of wireless ad hoc channels from measurements

  • Authors:

  • M. Olama;Y. Li;S. Djouadi;T. Goodspeed;T. Kuruganti

  • Affiliations:

  • University of Tennessee, Knoxville, TN;University of Tennessee, Knoxville, TN;University of Tennessee, Knoxville, TN;Oak Ridge National Laboratory, Oak Ridge, TN;Oak Ridge National Laboratory, Oak Ridge, TN

  • Venue:
  • WICON '07 Proceedings of the 3rd international conference on Wireless internet
  • Year:
  • 2007

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Abstract

This paper is concerned with a time varying wireless ad hoc channel modeling, its parameter estimation and system identification from received signal measurement data. The channel model is represented in state space form, while the expectation maximization algorithm and Kalman filtering are used in the channel parameter and state estimation, respectively. The proposed algorithm is recursive, and therefore the inphase and quadrature components of the ad hoc channel and its parameters are estimated online from received signal measurements. The proposed algorithm is tested using measurement data collected from moving wireless sensor nodes, and the results are presented.