Wideband Channel Estimation for IRS-Aided Systems in the Face of Beam Squint

TL;DR

This paper addresses the challenge of accurate wideband channel estimation in IRS-aided systems by explicitly considering beam squint effects, proposing a novel TS-OMP algorithm to improve estimation accuracy.

Contribution

It introduces a new channel estimation method that accounts for beam squint in wideband IRS systems, filling a significant research gap.

Findings

The mutual correlation function has two peaks, indicating actual and false angles.

The proposed TS-OMP algorithm effectively reduces false angle influence.

Simulation results demonstrate improved channel estimation accuracy.

Abstract

Intelligent reflecting surfaces (IRSs) improve both the bandwidth and energy efficiency of wideband communication systems by using low-cost passive elements for reflecting the impinging signals with adjustable phase shifts. To realize the full potential of IRS-aided systems, having accurate channel state information (CSI) is indispensable, but it is challenging to acquire, since these passive devices cannot carry out transmit/receive signal processing. The existing channel estimation methods conceived for wideband IRS-aided communication systems only consider the channel's frequency selectivity, but ignore the effect of beam squint, despite its severe performance degradation. Hence we fill this gap and conceive wideband channel estimation for IRS-aided communication systems by explicitly taking the effect of beam squint into consideration. We demonstrate that the mutual correlation function between the spatial steering vectors and the cascaded two-hop channel reflected by the IRS has two peaks, which leads to a pair of estimated angles for a single propagation path, due to the effect of beam squint. One of these two estimated angles is the frequency-independent `actual angle', while the other one is the frequency-dependent `false angle'. To reduce the influence of false angles on channel estimation, we propose a twin-stage orthogonal matching pursuit (TS-OMP) algorithm.