导航卫星轨道估计中紫外传感器与x射线探测器的集成

Li Qiao, Jianye Liu, Guanglou Zheng, Zhi Xiong
{"title":"导航卫星轨道估计中紫外传感器与x射线探测器的集成","authors":"Li Qiao, Jianye Liu, Guanglou Zheng, Zhi Xiong","doi":"10.1109/PLANS.2008.4570027","DOIUrl":null,"url":null,"abstract":"In recent years, X-ray navigation (XNAV) has become of great interest for spacecraft autonomous navigation. The XNAV system can be used as an augmentation to the current navigation capability or as a backup to the Global Position System (GPS) and the deep space network (DSN). In this paper, the XNAV system is used to augment the ultraviolet (UV) sensor based satellite navigation system. In order to simplify the structure of the XNAV system, only one X-ray detector is used. The federated filtering technique is used to process the data from the X-ray detector and the UV sensor. It is analyzed that the XNAV system using one X-ray detector is not completely observable, but the satellite integrated navigation system using these two sensors has a good navigation performance. It is demonstrated on the GPS satellite orbit and the geosynchronous satellite orbit that, the navigation performance of the satellite integrated navigation system is improved a lot with respect to that of the UV sensor-based satellite navigation system.","PeriodicalId":446381,"journal":{"name":"2008 IEEE/ION Position, Location and Navigation Symposium","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Integration of ultraviolet sensor and X-ray detector for navigation satellite orbit estimation\",\"authors\":\"Li Qiao, Jianye Liu, Guanglou Zheng, Zhi Xiong\",\"doi\":\"10.1109/PLANS.2008.4570027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, X-ray navigation (XNAV) has become of great interest for spacecraft autonomous navigation. The XNAV system can be used as an augmentation to the current navigation capability or as a backup to the Global Position System (GPS) and the deep space network (DSN). In this paper, the XNAV system is used to augment the ultraviolet (UV) sensor based satellite navigation system. In order to simplify the structure of the XNAV system, only one X-ray detector is used. The federated filtering technique is used to process the data from the X-ray detector and the UV sensor. It is analyzed that the XNAV system using one X-ray detector is not completely observable, but the satellite integrated navigation system using these two sensors has a good navigation performance. It is demonstrated on the GPS satellite orbit and the geosynchronous satellite orbit that, the navigation performance of the satellite integrated navigation system is improved a lot with respect to that of the UV sensor-based satellite navigation system.\",\"PeriodicalId\":446381,\"journal\":{\"name\":\"2008 IEEE/ION Position, Location and Navigation Symposium\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE/ION Position, Location and Navigation Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PLANS.2008.4570027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE/ION Position, Location and Navigation Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PLANS.2008.4570027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

近年来,x射线导航已成为航天器自主导航研究的热点。XNAV系统可以用作当前导航能力的增强或作为全球定位系统(GPS)和深空网络(DSN)的备份。本文将XNAV系统用于增强基于紫外传感器的卫星导航系统。为了简化XNAV系统的结构,只使用了一个x射线探测器。采用联合滤波技术对来自x射线探测器和紫外传感器的数据进行处理。分析了采用单x射线探测器的XNAV系统存在不完全可观测性,而采用双x射线探测器的卫星组合导航系统具有良好的导航性能。在GPS卫星轨道和地球同步卫星轨道上的试验表明,与基于UV传感器的卫星导航系统相比,卫星组合导航系统的导航性能有了很大的提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Integration of ultraviolet sensor and X-ray detector for navigation satellite orbit estimation
In recent years, X-ray navigation (XNAV) has become of great interest for spacecraft autonomous navigation. The XNAV system can be used as an augmentation to the current navigation capability or as a backup to the Global Position System (GPS) and the deep space network (DSN). In this paper, the XNAV system is used to augment the ultraviolet (UV) sensor based satellite navigation system. In order to simplify the structure of the XNAV system, only one X-ray detector is used. The federated filtering technique is used to process the data from the X-ray detector and the UV sensor. It is analyzed that the XNAV system using one X-ray detector is not completely observable, but the satellite integrated navigation system using these two sensors has a good navigation performance. It is demonstrated on the GPS satellite orbit and the geosynchronous satellite orbit that, the navigation performance of the satellite integrated navigation system is improved a lot with respect to that of the UV sensor-based satellite navigation system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Adaptive path planning for a VTOL-UAV Hardware-in-the-loop testing of the NATO standardisation agreement 4572 interface using high precision navigation equations Eyeball: An inertial helmet mounted cueing system Application of the manifold-constrained unscented Kalman filter Satellite selection for multi-constellation
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1