Efficient Data Uploads to Satellite Formations by Rateless Codes and Adaptive Tracking

A. Freimann, T. Petermann, Holger Döbler, B. Scheuermann, K. Schilling
{"title":"Efficient Data Uploads to Satellite Formations by Rateless Codes and Adaptive Tracking","authors":"A. Freimann, T. Petermann, Holger Döbler, B. Scheuermann, K. Schilling","doi":"10.1109/SHaRC51853.2021.9375848","DOIUrl":null,"url":null,"abstract":"The uplinks from ground stations to CubeSats typically support only low data rates. Additionally, the noise level in orbit is relatively high in the frequency bands used. Therefore, the upload of high amounts of data, e.g. software updates, can take a long time. Especially in case of satellite formations where updates need to be delivered to multiple satellites. We propose to make use of wireless broadcasts, rateless codes, and adaptive tracking algorithms to implement efficient data uploads to satellite formations. In this paper, we present appropriate algorithms and evaluate their performance for the CloudCT satellite formation scenario by discrete-event simulations based on detailed models of the system and in-orbit measurements.","PeriodicalId":188904,"journal":{"name":"2021 IEEE Space Hardware and Radio Conference (SHaRC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Space Hardware and Radio Conference (SHaRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SHaRC51853.2021.9375848","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The uplinks from ground stations to CubeSats typically support only low data rates. Additionally, the noise level in orbit is relatively high in the frequency bands used. Therefore, the upload of high amounts of data, e.g. software updates, can take a long time. Especially in case of satellite formations where updates need to be delivered to multiple satellites. We propose to make use of wireless broadcasts, rateless codes, and adaptive tracking algorithms to implement efficient data uploads to satellite formations. In this paper, we present appropriate algorithms and evaluate their performance for the CloudCT satellite formation scenario by discrete-event simulations based on detailed models of the system and in-orbit measurements.
通过无速率编码和自适应跟踪有效地将数据上传到卫星编队
从地面站到立方体卫星的上行链路通常只支持低数据速率。此外,在使用的频带中,轨道上的噪声水平相对较高。因此,上传大量数据(例如软件更新)可能需要很长时间。特别是在卫星编队的情况下,更新需要传递给多颗卫星。我们建议利用无线广播、无速率编码和自适应跟踪算法来实现有效的数据上传到卫星编队。在本文中,我们提出了合适的算法,并通过基于系统详细模型和在轨测量的离散事件模拟来评估它们在CloudCT卫星编队场景中的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信