Distortion-Aware Hybrid Beamforming for Integrated Sensing and Communication

TL;DR

This paper proposes a distortion-aware hybrid beamforming method for integrated sensing and communication systems, optimizing mutual information and communication rate while addressing nonlinear power amplifier distortions.

Contribution

It introduces a novel hybrid beamforming design that accounts for power amplifier distortion, using manifold optimization and decomposition algorithms for improved ISAC performance.

Findings

Enhanced ISAC system performance over traditional methods

Effective handling of nonlinear power amplifier distortion

Numerical results validate the proposed algorithm's superiority

Abstract

This paper investigates a practical partially-connected hybrid beamforming transmitter for integrated sensing and communication (ISAC) with distortion from nonlinear power amplification. For this ISAC system, we formulate a communication rate and sensing mutual information maximization problem driven by our distortion-aware hybrid beamforming design. To address this non-convex problem, we first solve for a fully digital beamforming matrix by alternatively solving three sub-problems using manifold optimization (MO) and our derived closed-form solutions. The analog and digital beamforming matrices are then obtained through a decomposition algorithm. Numerical results demonstrate that the proposed algorithm can improve overall ISAC performance compared to traditional beamforming methods.