基于可移动天线的全双工单站系统隐私感知ISAC
Privacy-Aware ISAC for Full-Duplex Monostatic Systems Using Movable Antennas
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中文总结 AI 辅助
针对全双工单站ISAC系统，提出联合优化波束成形与可移动天线轨迹的方法，在窃听者处生成虚拟DD箱响应以保护感知隐私，同时保证基站感知质量，仿真验证了有效性。
中文摘要 AI 辅助
本文研究了具有可移动天线（MAs）的全双工（FD）单站集成感知与通信（ISAC）系统中的感知隐私问题。所提出的方法联合优化波束成形和天线轨迹，以在被动感知窃听者（Eve）处产生欺骗性的虚拟延迟-多普勒（DD）箱响应，同时满足基站（BS）处的真实箱感知质量要求。由此产生的问题高度非凸。为解决此问题，开发了一种分阶段交替局部搜索框架以获得次优解。在该框架内，我们在Eve的离散化不确定区域上最大化虚拟与真实延迟-多普勒（DD）箱检测器导向SINR替代量之间的最坏情况裕度，并结合检测器对齐的虚拟箱细化和真实箱保留。仿真结果表明，与基准方案相比，所提出的基于MA的设计抑制了Eve对真实目标DD箱的选择，并增加了虚拟箱选择概率，同时保持了可靠的BS感知性能。
英文摘要
This work investigates sensing privacy in full-duplex (FD) monostatic integrated sensing and communication (ISAC) systems with movable antennas (MAs). The proposed approach jointly optimizes beamforming and antenna trajectories to create a deceptive dummy DD-bin response at a passive sensing eavesdropper (Eve), while satisfying a true-bin sensing-quality requirement at the base station (BS). The resulting problem is highly non-convex. {To address this, a stage-wise alternating local-search framework is developed to obtain suboptimal solutions. Within this framework, we maximize the worst-case margin between dummy and true delay-Doppler (DD)-bin detector-oriented SINR surrogates over a discretized uncertainty region for Eve, incorporating detector-aligned dummy-bin refinement and true-bin preservation.} Simulation results show that the proposed MA-enabled design suppresses Eve's true-target DD-bin selection and increases dummy-bin selection probability compared with benchmark schemes, while maintaining reliable BS sensing performance.
发表机构
- University of Peradeniya（佩拉德尼亚大学）
- Queen’s University Belfast（贝尔法斯特女王大学）
- Chalmers University of Technology（查尔姆斯理工大学）
机构由 AI 辅助整理，请以论文原文为准。
