L E O卫星同步感知与通信，降低资源消耗
Robust Design of Integrated Sensing and Communication in LEO Satellite Systems
- 同一卫星共用频谱，同时完成目标探测与用户通信
- 在信道相位不确定下，仍能保障感知与通信性能要求
- 适合资源受限的低轨卫星系统，对工程部署有参考价值
随着对卫星感知与通信需求的增长，有限的无线资源难以支撑多个卫星系统的运行。为此，本文构建了低地球轨道（LEO）卫星系统中集成感知与通信（ISAC）的框架，使卫星可在同一频段上同时探测多个目标并服务多个通信用户（CUs）。针对卫星机载能源有限的问题，提出一种鲁棒波束成形设计算法，旨在最小化总发射功率，同时在存在信道相位不确定性（加剧跨功能干扰）的情况下，满足感知的均方误差（MSE）和通信的信干噪比（SINR）要求。理论分析表明该算法有效，大量仿真验证其优于基线方法。
原文摘要 · Abstract (English)
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.
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