English(EN) CRB-Driven Beamforming and Trajectory Optimization for UAV-assisted ISAC System

UAV辅助ISAC系统通过新颖的轨迹和波束成形优化感知与通信

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-23 04:00

研究人员开发了一种优化无人机（UAV）辅助集成传感与通信（ISAC）系统的新方法。该方法联合优化UAV的轨迹和波束成形参数，以提高以Cramér-Rao界（CRB）衡量的感知性能，同时确保可靠通信。与没有UAV辅助的系统相比，该系统旨在将感知精度提高10%以上，优于现有基准。 AI

影响这项研究可能带来更高效、更精确的集成传感与通信系统，并可能影响未来的无线网络设计。

排序理由这是一篇发表在arXiv上的研究论文，详细介绍了一种新的技术方法。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.LG TIER_1 English(EN) · Yi Yang, Qianqian Zhang, Huaxia Wang · 2026-07-23 04:00

CRB驱动的波束赋形和轨迹优化用于无人机辅助ISAC系统

arXiv:2607.19609v1 Announce Type: cross Abstract: In this paper, we study an unmanned aerial vehicle (UAV)-assisted integrated sensing and communication (ISAC) system, where a UAV enhances the sensing capability of a base station (BS) towards a target while ensuring reliable comm…