The PLATO Payload and Data Processing System Space Wire Network

M. Focardi, R. Cosentino, S. Pezzuto, D. Biondi, G. Giusi, L. Serafini, C. D. V. Blanco, D. Vangelista, Matteo Rotundo, L. Fanucci, Daniele Davalle, P. D. Team
{"title":"The PLATO Payload and Data Processing System Space Wire Network","authors":"M. Focardi, R. Cosentino, S. Pezzuto, D. Biondi, G. Giusi, L. Serafini, C. D. V. Blanco, D. Vangelista, Matteo Rotundo, L. Fanucci, Daniele Davalle, P. D. Team","doi":"10.1109/CompEng.2018.8536225","DOIUrl":null,"url":null,"abstract":"PLATO [1] has been selected and adopted by ESA as the third medium-class Mission (M3) of the Cosmic Vision Program, to be launched in 2026 with a Soyuz-Fregat rocket from the French Guiana. Its Payload (P/L) is based on a suite of 26 telescopes and cameras in order to discover and characterise, thanks to ultra-high accurate photometry and the transits method, new exoplanets down to the range of Earth analogues. Each camera is composed of 4 CCDs working in full-frame or frame-transfer mode. 24 cameras out of 26 host 4510 by 4510 pixels CCDs, operated in full-frame mode with a pixel depth of 16 bits and a cadence of 25 s. Given the huge data volume to be managed, the PLATO P/L relies on an efficient Data Processing System (DPS) whose Units perform images windowing, cropping and compression. Each camera and DPS Unit is connected to a fast SpaceWire (SpW) network running at 100 MHz and interfaced to the satellite On-Board Computer (OBC) by means of an Instrument Control Unit (ICU), performing data collection and compression.","PeriodicalId":194279,"journal":{"name":"2018 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Workshop on Complexity in Engineering (COMPENG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CompEng.2018.8536225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

PLATO [1] has been selected and adopted by ESA as the third medium-class Mission (M3) of the Cosmic Vision Program, to be launched in 2026 with a Soyuz-Fregat rocket from the French Guiana. Its Payload (P/L) is based on a suite of 26 telescopes and cameras in order to discover and characterise, thanks to ultra-high accurate photometry and the transits method, new exoplanets down to the range of Earth analogues. Each camera is composed of 4 CCDs working in full-frame or frame-transfer mode. 24 cameras out of 26 host 4510 by 4510 pixels CCDs, operated in full-frame mode with a pixel depth of 16 bits and a cadence of 25 s. Given the huge data volume to be managed, the PLATO P/L relies on an efficient Data Processing System (DPS) whose Units perform images windowing, cropping and compression. Each camera and DPS Unit is connected to a fast SpaceWire (SpW) network running at 100 MHz and interfaced to the satellite On-Board Computer (OBC) by means of an Instrument Control Unit (ICU), performing data collection and compression.
PLATO有效载荷和数据处理系统空间有线网络
PLATO[1]已被ESA选定并采纳为宇宙视觉计划(Cosmic Vision Program)的第三个中型任务(M3),将于2026年由法属圭亚那的Soyuz-Fregat火箭发射。它的有效载荷(P/L)是基于一套26架望远镜和相机,为了发现和表征,由于超高精度的光度测定和凌日法,新的系外行星低至地球类似物的范围。每个相机由4个ccd组成,工作在全帧或帧传输模式。26台摄像机中的24台主机上有4510 × 4510像素的ccd,在全帧模式下运行,像素深度为16位,节奏为25秒。考虑到要管理的庞大数据量,PLATO P/L依赖于一个高效的数据处理系统(DPS),其单元执行图像窗口,裁剪和压缩。每个摄像机和DPS单元都连接到运行在100 MHz的快速SpaceWire (SpW)网络,并通过仪器控制单元(ICU)与卫星车载计算机(OBC)接口,执行数据收集和压缩。
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:604180095
Book学术官方微信