李勰^1,2,3,4,,
徐寄遥¹,
唐歌实^2,3,
陈光明^2,3,
满海钧^2,3,
刘舒莳^2,3,
李永平¹
1. 中国科学院国家空间科学中心, 北京 100190
2. 北京航天飞行控制中心, 北京 100094
3. 航天飞行动力学技术重点实验室, 北京 100094
4. 中国科学院大学, 北京 100049

基金项目: 国家自然科学基金项目（41474131，41604131），国家重点基础研究发展计划（973计划）（2014CB744105）共同资助


详细信息

作者简介: 李勰, 男, 1980年生, 北京航天飞行控制中心高级工程师, 现为中国科学院国家空间科学中心空间物理专业博士生, 主要从事航天器轨道动力学以及热层大气密度模式修正方面的研究.E-mail:lixie_afdl@163.com

中图分类号: P351

收稿日期:2017-07-27
修回日期:2017-12-21
上线日期:2018-09-05

Processing and calibrating of in-situ atmospheric densities for APOD

LI Xie^1,2,3,4,,
XU JiYao¹,
TANG GeShi^2,3,
CHEN GuangMing^2,3,
MAN HaiJun^2,3,
LIU ShuShi^2,3,
LI YongPing¹
1. National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
2. Beijing Aerospace Control Center, Beijing 100094, China
3. Science and Technology on Aerospace Flight Dynamics Laboratory, Beijing 100094, China
4. University of Chinese Academy of Sciences, Beijing 100049, China


MSC: P351

--> Received Date: 27 July 2017
Revised Date: 21 December 2017
Available Online: 05 September 2018


摘要
摘要:APOD卫星是我国首颗以热层大气密度探测与精密定轨为科学目标的微纳卫星，搭载大气密度探测器、双频GNSS接收机等载荷，于2015年9月20日发射入轨，2015年10月27日进入轨道高度460 km、轨道倾角97.4°、降交点地方时6:20的工作轨道，各项载荷随即展开例行观测.本文给出了APOD卫星大气密度探测器的基本原理和数据处理流程，采用基于双行根数（TLE）反演获取的密度数据，对2015年12月至2016年12月的就位探测数据进行了标校，并与经验密度模式进行了比较.结果表明，反演密度与APOD卫星就位探测数据的线性相关性达到0.943，采用线性拟合与二次函数拟合的残差水平基本相当.两种不同方法标校密度相对于NRLMSIS00模式日均值误差的均值和标准偏差为10.1%、18.2%和5.1%、17.1%，二次函数标校略优于线性标校；相对于JB2008模式日均值误差的均值和标准偏差为0.6%、14.9%和3.9%、16.9%，线性标校略优于二次函数标校.总体而言，APOD卫星大气密度就位探测数据与常用经验模式精度基本一致，可为开展大气密度变化规律及应用研究提供数据基础.
关键词: APOD卫星/
大气密度探测/
处理/
标校

Abstract:APOD is an initiative project in China, aiming at precise orbit determination and neutral density in-situ detection below 500 km using CubeSat, boards some scientific instrument such as atmospheric density detector, dual-frequency GNSS receiver and so on. On Sep. 20, 2015, APOD was launched into near circular polar orbit with the altitude of 530 km. By Oct. 27, 2015, it was successfully deployed in the mission orbit with the altitude of 460 km, inclination of 97.4 degree and descend node local time of 6:20 am through multiple thrusting. Subsequently, atmospheric density detector has been working until now. The basic principle and data process procedure of atmospheric density detector are presented in this paper. Moreover, densities obtained by independent methods such as retrieving of TLEs, can be employed to calibrate in-situ density observations. It shows good correlation between observations and densities derived from TLEs, and the correlation coefficient can reach 0.943. The accuracy of post-fitted standard deviation using linear fitting is consistent with that of quadric fitting. Some comparisons are made among verified densities with different methods, NRLMSISE00 model, as well as JB2008 model. The ratio of the average and standard deviation calibrations versus the NRLMSISE00 model calculations is about 10.1%, 18.2% and 5.1%, 17.1%, the ratio of the average and standard deviation versus the JB2008 model calculations is about 0.6%, 14.9% and 3.9%, 16.9%, respectively. It indicates that the in-situ densities observed by APOD have the same accuracy level compared with representative empirical models, and the observations can be provided for research and application community.
Key words:APOD satellite/
Atmospheric density detection/
Process/
Calibration



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