作者:Zhang, BB (Zhang, Bingbing)[ 1 ] ; Wang, ZT (Wang, Zhengtao)[ 1 ] ; Zhou, L (Zhou, Lv)[ 1,2 ] ;Feng, JD (Feng, Jiandi)[ 1 ] ; Qiu, YD (Qiu, Yaodong)[ 1 ] ; Li, FP (Li, Fupeng)[ 1 ]
SENSORS
卷: 17期: 3文献号: 635
DOI: 10.3390/s17030635
出版年: MAR 2017
摘要
Swarm is a European Space Agency (ESA) project that was launched on 22 November 2013, which consists of three Swarm satellites. Swarm precise orbits are essential to the success of the above project. This study investigates how well Swarm zero-differenced (ZD) reduced-dynamic orbit solutions can be determined using space-borne GPS data and optimized pseudo-stochastic pulses under high ionospheric activity. We choose Swarm space-borne GPS data from 1-25 October 2014, and Swarm reduced-dynamic orbits are obtained. Orbit quality is assessed by GPS phase observation residuals and compared with Precise Science Orbits (PSOs) released by ESA. Results show that pseudo-stochastic pulses with a time interval of 6 min and a priori standard deviation (STD) of 10(-2) mm/s in radial (R), along-track (T) and cross-track (N) directions are optimized to Swarm ZD reduced-dynamic precise orbit determination (POD). During high ionospheric activity, the mean Root Mean Square (RMS) of Swarm GPS phase residuals is at 9-11 mm, Swarm orbit solutions are also compared with Swarm PSOs released by ESA and the accuracy of Swarm orbits can reach 2-4 cm in R, T and N directions. Independent Satellite Laser Ranging (SLR) validation indicates that Swarm reduced-dynamic orbits have an accuracy of 2-4 cm. Swarm-B orbit quality is better than those of Swarm-A and Swarm-C. The Swarm orbits can be applied to the geomagnetic, geoelectric and gravity field recovery.
关键词
作者关键词:Swarm; precise orbit determination; reduced-dynamic method; space-borne dual-frequency GPS data; pseudo-stochastic pulses; orbit accuracy
KeyWords Plus:SATELLITE CONSTELLATION; GRACE; MISSION; CHAMP; LEO; CODE
作者信息
通讯作者地址: Wang, ZT (通讯作者)
Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China. |
地址:
[ 1 ] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China | |
[ 2 ] Beijing Inst Surveying & Mapping, Beijing Key Lab Urban Spatial Informat Engn, Beijing 100038, Peoples R China |
电子邮件地址:bbzhang@whu.edu.cn; ztwang@whu.edu.cn; zhoulv@whu.edu.cn; jdfeng@whu.edu.cn;ydqiu@whu.edu.cn; fpli@whu.edu.cn
基金资助致谢
基金资助机构 | 授权号 |
National Natural Science Foundation of China | 41274032 41210006 41474018 |
Beijing Key Laboratory of Urban Spatial Information Engineering | 2016204 |
出版商
MDPI AG, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
类别/分类
研究方向:Chemistry; Electrochemistry; Instruments & Instrumentation
Web of Science类别:Chemistry, Analytical; Electrochemistry; Instruments & Instrumentation
文献信息
文献类型:Article
语种:English
入藏号: WOS:000398818700208
ISSN: 1424-8220
期刊信息
· Impact Factor (影响因子): 2.033