Sinusoidal Modeling and Adaptive Channel Prediction in Mobile OFDM Systems

We propose a wireless fading channel prediction algorithm for a pilot-symbol aided Orthogonal Frequency Division Multiplexing (OFDM) system. Assuming a doubly selective (time and frequency varying) ray-based physical channel model and equispaced pilot subcarriers in time and frequency, this algorithm performs channel model parameter acquisition using a 2-Step 1D ESPRIT (estimation of signal parameters via rotational invariance techniques) as a rst stage, and channel prediction via model extrapolation as a second stage. Since the channel model parameter acquisition has cubic complexity, we also propose a linear complexity channel parameter tracking algorithm based on an improved adaptive ESPRIT algorithm to continuously adapt to the time-varying channel model parameters. We derive the Cramer-Rao Lower Bound (CRLB) and Asymptotic CRLB (ACRLB) for the mean squared error (MSE) in OFDM channel prediction. We show that our proposed OFDM channel prediction algorithm has better MSE performanc...

• Type: Journal
• Year: 2008
• Where: TSP
• Authors: Ian C. Wong, Brian L. Evans
• Keywords: Channel Model Parameters, Channel Prediction, Channel Prediction Algorithm, TSP 2008