arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2203.08698eess.SYcs.SYeess.SP
收藏

分布式卫星系统结构与同步技术综述

Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

Liz Martinez Marrero, Juan C. Merlano Duncan, Jorge Querol, Sumit Kumar, Jevgenij Krivochiza, Shree Krishna Sharma, Symeon Chatzinotas, Adriano Camps, Bjorn Otterstern

摘要:

聚合分布式卫星系统(CDSS)是未来遥感和通信任务的关键使能技术。然而,它们必须满足严格的同步要求才能推广使用。当时钟或本地振荡器信号在每个分布式节点本地生成时,实现绝对相位、频率和时间的精确同步是一个复杂的问题。此外,卫星系统的资源限制很大,特别是对于小型卫星而言,这些卫星被设想为未来CDSS的一部分。因此,精确的,鲁棒的,和资源有效的同步技术的发展是必不可少的未来CDSS的进步。在这种情况下,本次调查的目的是总结和分类最相关的结果同步技术的DSS。首先,定义了一些重要的体系结构和系统概念。然后,文献中报道的同步方法进行了回顾和分类。本文还提供了一个广泛的应用程序和DSS的同步技术的例子,除了在其他业务密切相关的同步,如卫星间测距和相对位置的最重要的进展。该调查还讨论了基于ML的新兴数据驱动同步技术。最后,目前的研究活动和潜在的研究课题的汇编提出,确定的问题和开放的挑战,可以在该领域的研究人员有用。

英文摘要:

Cohesive Distributed Satellite Systems (CDSS) is a key enabling technology for the future of remote sensing and communication missions. However, they have to meet strict synchronization requirements before their use is generalized. When clock or local oscillator signals are generated locally at each of the distributed nodes, achieving exact synchronization in absolute phase, frequency, and time is a complex problem. In addition, satellite systems have significant resource constraints, especially for small satellites, which are envisioned to be part of the future CDSS. Thus, the development of precise, robust, and resource-efficient synchronization techniques is essential for the advancement of future CDSS. In this context, this survey aims to summarize and categorize the most relevant results on synchronization techniques for DSS. First, some important architecture and system concepts are defined. Then, the synchronization methods reported in the literature are reviewed and categorized. This article also provides an extensive list of applications and examples of synchronization techniques for DSS in addition to the most significant advances in other operations closely related to synchronization, such as inter-satellite ranging and relative position. The survey also provides a discussion on emerging data-driven synchronization techniques based on ML. Finally, a compilation of current research activities and potential research topics is proposed, identifying problems and open challenges that can be useful for researchers in the field.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑