Distortion-Aware Hybrid Beamforming for Integrated Sensing and Communication
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918097366024192 |
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| author | Zhang, Zeyuan Xiu, Yue Yeoh, Phee Lep Liu, Guangyi Wu, Zixing Wei, Ning |
| author_facet | Zhang, Zeyuan Xiu, Yue Yeoh, Phee Lep Liu, Guangyi Wu, Zixing Wei, Ning |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_14018 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Distortion-Aware Hybrid Beamforming for Integrated Sensing and Communication Zhang, Zeyuan Xiu, Yue Yeoh, Phee Lep Liu, Guangyi Wu, Zixing Wei, Ning Signal Processing 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. |
| title | Distortion-Aware Hybrid Beamforming for Integrated Sensing and Communication |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2507.14018 |