发表机构
Harbin Institute of Technology（哈尔滨工业大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种DMA辅助安全ISAC系统的三混合波束成形设计，通过三重交替优化逼近全数字解，在满足保密和功率约束下，将感知SNR提升约3 dB。
AI 中文摘要
本文针对采用动态超表面天线（DMA）架构的安全集成感知与通信（ISAC）系统，提出了一种三混合波束成形方案，其中基站（BS）能够与合法用户通信并感知目标。系统中还存在一个窃听者，意图窃听机密信息。三混合波束成形设计问题被建模为在保密频谱效率（SSE）、发射功率和物理结构限制的约束下最大化感知信噪比（SNR）。我们首先通过连续凸近似（SCA）和半定松弛（SDR）方法求解该问题，获得优化的全数字波束成形解。随后开发了一种三重交替优化方案，以迭代优化数字、模拟和DMA波束成形器，逐步逼近全数字解。数值结果表明，与采用固定DMA电磁设计的三混合波束成形方案相比，所提出的面向DMA辅助ISAC的安全三混合波束成形设计将感知SNR提升了约3 dB。
英文摘要
This paper proposes a tri-hybrid beamforming scheme for secure integrated sensing and communication (ISAC) with a dynamic metasurface antenna (DMA) architecture, where the base station (BS) is capable of communicating with legitimate users and sensing the target. There is also an eavesdropper in the system intending to eavesdrop on the confidential information. The tri-hybrid beamforming design problem is formulated with the objective of maximizing the sensing signal-to-noise ratio (SNR) under the constraints of secrecy spectral efficiency (SSE), transmit power, and physical structure limitations. We first solve the problem and obtain the optimized fully-digital beamforming solution through successive convex approximation (SCA) and semidefinite relaxation (SDR) approaches. A triple alternating optimization scheme is then developed to iteratively optimize the digital, analog, and DMA beamformers, progressively approximating the fully-digital solution. Numerical results demonstrate that the proposed secure tri-hybrid beamforming design for DMA-aided ISAC improves the sensing SNR by approximately 3 dB compared to a tri-hybrid beamforming scheme with a fixed DMA electromagnetic design.
Comments6 pages, 4 figures, accepted by IEEE GLOBECOM 2026
