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基于星载高精度GPS观测数据的大气密度反演
Alternative TitleThermospheric density derived from onboard GPS observation data
苗娟; 任廷领; 龚建村; 刘四清; 李志涛; Gong, Jian-Cun (gongjc@nssc.ac.cn)
Department空间环境部
Source Publication地球物理学报
2016
Volume59Issue:10Pages:3566-3572
ISSN0001-5733
Language中文
KeywordGps观测数据 平运动 反弹道系数 热层大气密
Abstract星载高精度GPS观测数据可提供卫星速度和位置信息,而卫星的运行轨迹又与所处位置的大气密度紧密相关,因此可通过求解大气阻力微分方程,由高精度GPS观测数据反演出卫星运行轨迹上的热层大气密度.本文从星载高精度GPS观测数据出发,给出大气密度的反演方法,以及平均平动参数nM、反弹道系数B两个重要参数的解算过程,并以天宫一号为例,给出反演结果与天宫一号观测数据的比对.结果表明,反演结果与观测值符合很好,两者的均方差在2012年1月1日、2月24日分别为8.6%和8.4%,说明利用星载GPS观测数据反演大气密度是有效、可行的,可成为今后获取高精度大气密度的一种方法.
Other AbstractOnboard GPS observation data of a satellite includes accurate information of velocity and location, which are closely related to atmospheric density. Therefore, these GPS information can be used to derive thermospheric density through integration of differential equation. This paper presents a new method of deriving atmospheric density with a high temporal resolution from precise orbit data of low earth orbiting (LEO) space objects, and also presents the solution procedure of mean motion nMand the inverse ballistic coefficient B which are the two most important parameters for retrieving density. Tiangong-1 is taken as an example to evaluate the effectiveness of the method. The result shows that the GPS-derived density is in good agreement with observed density with the average error 8.6% and 8.4% respectively on 1st January and 24th February in 2012 for Tiangong-1. This result indicates the method provides an effective and reliable way to obtain extensive and accurate thermospheric density. © 2016, Science Press. All right reserved.
Indexed BySCI ; EI ; CSCD
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Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/5639
Collection空间环境部
Corresponding AuthorGong, Jian-Cun (gongjc@nssc.ac.cn)
Recommended Citation
GB/T 7714
苗娟,任廷领,龚建村,等. 基于星载高精度GPS观测数据的大气密度反演[J]. 地球物理学报,2016,59(10):3566-3572.
APA 苗娟,任廷领,龚建村,刘四清,李志涛,&Gong, Jian-Cun .(2016).基于星载高精度GPS观测数据的大气密度反演.地球物理学报,59(10),3566-3572.
MLA 苗娟,et al."基于星载高精度GPS观测数据的大气密度反演".地球物理学报 59.10(2016):3566-3572.
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