A dual-robust design of beamforming is investigated in an integrated sensing and communication (ISAC) system. Existing research on robust ISAC waveform design, while proposing solutions to imperfect channel state information (CSI), generally depends on prior knowledge of the target’s approximate location to design waveforms. This approach, however, limits the precision in sensing the target’s exact location. In this letter, considering both CSI imperfection and target location uncertainty, a novel framework of joint robust optimization is proposed by maximizing the weighted sum of worst-case data rate and beampattern gain. To address this challenging problem, we propose an efficient two-layer iteration algorithm based on S-Procedure and convex hull. Finally, numerical results verify the effectiveness and performance improvement of our dual-robust algorithm, as well as the trade-off between communication and sensing performance.

中文翻译：

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双鲁棒集成传感和通信：CSI 缺陷和位置不确定性下的波束成形


在集成传感与通信 （ISAC） 系统中研究了波束成形的双重鲁棒设计。关于稳健 ISAC 波形设计的现有研究，虽然提出了针对不完美信道状态信息 （CSI） 的解决方案，但通常取决于对目标大致位置的先验知识，以设计波形。然而，这种方法限制了感知目标准确位置的精度。在本文中，考虑到 CSI 缺陷和目标位置的不确定性，通过最大化最坏情况数据速率和波束模式增益的加权和，提出了一种新的联合鲁棒优化框架。为了解决这个具有挑战性的问题，我们提出了一种基于 S 过程和凸包的高效两层迭代算法。最后，数值结果验证了我们的双鲁棒算法的有效性和性能提升，以及通信和传感性能之间的权衡。