李文文， 李敏^*， 邹璇

（  武汉大学卫星导航定位技术研究中心，武汉，430079；  ）

摘要： 本文介绍了一种采用TLE星历平均运动数据反演热层平均密度以及计算弹道系数B的方法，并对实际数据处理的相关问题进行了讨论。文中选择了19个轨道高度800km以内的空间物体为研究对象，并采用HWM93风速模型以及NRLMSISE00作为背景大气密度模型，对1980~2012年间的历史TLE数据进行了处理，得出了以下结论：(1)利用本文介绍的方法解算了16个物体的B系数，与Bowman发布的精确B系数相比其最大误差为10%，对于大部分物体误差在5%以内，平均误差为-0.4%； (2) 将解算得到的弹道系数考虑为常数，采用本文方法得到了不同高度的平均大气密度及其与模型平均密度的比值时间序列，通过与F10.7指数比较发现，计算的平均密度与F10.7指数强正相关，具有明显的11年周期。
关键词： 大地测量学与测量工程；TLE；热层密度；SGP4；NRLMSISE00

LI Wenwen， LI Min^*， ZOU Xuan

（  GNSS Research Center, Wuhan University, Wuhan, 430079；  ）

Abstract： This paper introduced a method that uses mean mean motion data from TLEs to derive averaged thermosphere density and the ballistic coefficient B of low earth objects (LEOs). Some practical issues on TLE data processing were also discussed. By using HWM93 model and NRLMSISE00 model as the background atmosphere density model, 19 LEOs with their orbital altitude within 800km were selected for this study and their historical TLE data from 1980 to 2012 were processed. On these bases, we draw several conclusions as following: (1) by comparison with the B values from Bowman (2002), experiment shows that by using the method described in this paper, the maximum relative error of B is about 10%. For most objects, the error of B is within 5%, and the overall mean error is about -0.4%; (2) taking these calculated B values of the objects as constants, the long-term TLE- and NRLMSISE00-derived averaged density, and their ratios can then be obtained. Results show that the TLE- and NRLMSISE00-derived average density shows strong correlation with F10.7 index. 
Keywords： Geodesy and Geomatics; TLE; thermosphere density; SGP4, NRLMSISE00

PDF全文下载：     初稿（34）

【收录情况】