基于实测数据的大气密度反演方法及应用研究

针对中长期的平均大气密度反演问题，以我国典型遥感卫星运行轨道数据作为基础，采用实测数据反演大气密度并对MSIS00模型进行局部修正，并将修正后的模型应用于遥感卫星推进剂的预算，仿真结果表明：得到的修正大气模型具有较高的准确度，且采用修正后的大气模型得到的轨道维持推进剂消耗比修正前减少了近35%，达到了在保障卫星安全运行基础上最大限度降低整星质量的目的。研究结果还可用于我国未来航天器的高精度轨道预报、推进剂预算、碰撞规避等任务。

Method and Application of Atmosphere Density Retrieving Based on Measured Data

The method for medium-and long-term atmosphere density retrieving is studied. Based on the orbit data of China’s typical remote sensing satellite, the MSIS00 atmospheric model is modified using the atmosphere density retrieving result with the measured data, then the modified model is used for the propellant budget of the remote sensing satellite. The simulation results show that the modified atmospheric model obtained has a high accuracy, and compared with the MSIS00 model, the fuel consumption for orbital maintenance with the modified model is reduced by 35%. It can achieve the maximum mass reduction of the satellite and also ensure the safety of the satellite. The result of this paper can also be used in high precision orbit prediction, propellant budget and collision avoidance.