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Distortion-Aware Hybrid Beamforming for Integrated Sensing and Communication

2025/07/18 by Zeyuan Zhang, Zhang, Zeyuan, Yue Xiu +9
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Direction-of-Arrival Estimation Techniques #FOS: Electrical engineering #Radar Systems and Signal Processing #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2507.14018

openalex publication_date 2025/07/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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