中国空间科学技术2024，Vol.44Issue(1)：54-64,11.DOI:10.16708/j.cnki.1000-758X.2024.0006
基于TLE数据的大气密度反演与校正
Thermospheric density determination and empirical model correction based on TLE data
张衷韬 1张亚坤 2王斌2
作者信息
- 1. 航天工程大学研究生院,北京 101400
- 2. 航天工程大学电子与光学工程系,北京 101400
- 折叠
摘要
Abstract
The thermosphere density model used for spacecraft orbit prediction generally has an error of about 30％,which affects the precise orbit determination and load control of LEO satellites.Based on the relationship between the change of horizontal motion of the low-orbit spacecraft and the atmospheric density,the TLE data of the GRACE(gravity recovery and climate experiment)satellite were used to invert the atmospheric density along the orbit in 2003 and 2007.After concluding the cause of the error in the relational analysis,the lognormal distribution was used to fit the density ratios.By analyzing the influence of solar radiation and geomagnetic index on atmospheric density changes,a correction and forecasting method of thermospheric density model based on space environment index was proposed.This method was used to correct the calculated density of the MSIS86 model in 2003,2004,2007 and 2008,the average relative error of the model was reduced from 33.33％～59.62％to 11.5 5％～15.13％,and the improvement in low solar activity years is 1.5～2 times of high solar activity years.The forecast correction was carried out on the empirical model results in 2009,which reduced the forecast error by 36.49％and improved the model accuracy.关键词
热层密度反演/MSIS-86大气模型/大气模型校正/两行轨道根数/空间环境指数Key words
thermospheric density determination/MSIS-86 atmospheric model/atmospheric model correction/two-line element sets(TLEs)/space weather index分类
航空航天引用本文复制引用
张衷韬,张亚坤,王斌..基于TLE数据的大气密度反演与校正[J].中国空间科学技术,2024,44(1):54-64,11.
