Radio Fading Channel Modeling, Estimation and Identification Based on the Measurement Data

Abstract

This paper is concerned with modeling and system identification of wireless channels. The models employed are in state space form, while the identification method uses the expectation-maximization (EM) algorithm and Kalman filtering. The algorithm is tested against measurement data collected by the Canadian Communication Research Center (CRC), and the results are presented. These include state space models and estimates of the inphase and quadrature components of the channel from measured data