发表机构
College of Information Science and Electronic Engineering, Zhejiang University（信息科学与电子工程学院，浙江大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对低地球轨道卫星系统中无线资源受限问题，建立集成传感与通信框架，开发新颖稳健波束成形设计算法，在信道相位不确定下最小化总发射功率，满足传感和通信要求，经理论分析和仿真验证算法有效且优于基线。
AI 中文摘要
随着对卫星传感和通信需求的增长，有限的无线资源难以支持多个卫星系统。因此，研究低地球轨道（LEO）卫星系统中的集成传感与通信（ISAC），以在单个卫星内实现多功能，节省频谱和轨道资源。本文建立了LEO卫星系统中ISAC框架，卫星可在同一频谱上同时感知多个目标并服务多个通信用户（CU）。考虑卫星机载能量有限，开发了一种新颖的稳健波束成形设计算法，目标是在存在加剧交叉功能干扰的信道相位不确定性时，最小化总发射功率，同时满足传感的均方误差（MSE）要求和通信的信号与干扰加噪声比（SINR）要求。理论分析表明该算法有效，大量仿真证实了其优于基线算法。
英文摘要
With the growing demand for satellite sensing and communication, the limited wireless resources are difficult to support multiple satellite systems. Therefore, it is desired to investigate integrated sensing and communication (ISAC) in low Earth orbit (LEO) satellite systems to enable multi-functionality within a single satellite, thereby saving both spectrum and orbital resources. In this paper, a framework for ISAC in LEO satellite systems is established, where a satellite can simultaneously sense multiple targets and serve multiple communication users (CUs) over the same spectrum. Considering the limited onboard energy of satellite, a novel robust beamforming design algorithm is developed with the goal of minimizing total transmit power while satisfying the mean squared error (MSE) requirements for sensing and signal-to-interference-plus-noise ratio (SINR) requirements for communication in presence of channel phase uncertainty which exacerbates the cross-functional interference. According to theoretical analysis, the proposed algorithm for ISAC in LEO satellite systems is effective. Moreover, extensive simulations confirm the superiority of the proposed algorithm over baselines.
