Robust Estimation in Rayleigh Fading Channels Under Bounded Channel Uncertainties

TL;DR

This paper explores robust channel equalization techniques for Rayleigh fading channels with bounded uncertainties, providing closed-form solutions and simulation results to compare their effectiveness.

Contribution

It introduces three novel robust equalization methods that incorporate channel uncertainties without requiring direct parameter tuning, with closed-form solutions for various signal means.

Findings

All methods improve equalization robustness under channel uncertainties.

Closed-form solutions facilitate practical implementation.

Simulation results demonstrate the effectiveness of the proposed methods.

Abstract

We investigate channel equalization for Rayleigh fading channels under bounded channel uncertainties. We analyze three robust methods to estimate an unknown signal transmitted through a Rayleigh fading channel, where we avoid directly tuning the equalizer parameters to the available inaccurate channel information. These methods are based on minimizing certain mean-square error criteria that incorporate the channel uncertainties into the problem formulations. We present closed-form solutions to the channel equalization problems for each method and for both zero mean and nonzero mean signals. We illustrate the performances of the equalization methods through simulations.