State space estimation of wireless fading channels.

Abstract

This thesis presents a state space approach to optimal estimation of channel processes, such as inphase, quadrature, square envelope, phase, etc., of wireless fading channels. The models are derived from the Doppler power spectral density using factorization and realization techniques. Several simulations are performed when the channel is Rayleigh and Ricean distributed under both flat and frequency-selective fading assumptions. The simulation studies illustrate the tracking properties of the inphase, quadrature and square envelope estimators for various received signal-to-noise ratios.