研究人员为低地球轨道（LEO）卫星系统开发了一种集成感知与通信（ISAC）的新型算法。该框架允许单个卫星在同一频谱上同时感知多个目标并服务多个通信用户，解决了无线资源有限的挑战。该算法专注于在存在信道相位不确定性的情况下，最小化总发射功率并满足感知和通信的特定要求。 AI
影响 这项研究可能带来更高效、多功能的卫星系统，并可能影响未来的天基通信和感知基础设施。
排序理由 该集群包含一篇详细介绍卫星系统新算法的学术论文。
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arXiv:2607.12337v1 Announce Type: cross Abstract: 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 (ISA…
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 e…
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 e…