A Frequency Domain Channel Estimation Based on Atomic Norm Minimization for Frequency Selective MmWave MIMO Systems

TL;DR

This paper introduces a novel frequency domain channel estimation method for frequency selective mmWave MIMO systems using atomic norm minimization, improving accuracy by leveraging channel sparsity.

Contribution

It extends atomic norm minimization techniques to frequency selective channels in mmWave MIMO systems, which was not addressed in prior flat channel studies.

Findings

Atomic norm minimization accurately estimates channels.

Reweighted atomic norm enhances estimation precision.

Simulation confirms effectiveness of the proposed method.

Abstract

In this study, a channel estimator for millimeter wave (mmWave) systems is proposed. By considering the sparse nature of channels in millimeter wave band, the channel estimation problem formulated as an atomic norm minimization problem. Previous studies on mmWave channel estimation have focused on frequency flat channels. However, in this study the work is based on a frequency selective channel and adopted atomic norm minimization and reweighed atomic norm minimization technique for channel estimation in the frequency domain. Simulation results verify the accuracy of the atomic and reweighted atomic norm minimization techniques.