摘要
采用星载全球导航卫星系统(GNSS)确定地球静止轨道(GEO),以解决目前应用星载全球定位系统(GPS)时导航卫星可见性差的问题。以风云卫星为例,分析了未来的GNSS相对于GEO卫星的可见性,针对GEO轨道上导航接收机采样间隔较长的问题,综合轨道积分和卡尔曼滤波方法的优点,提出了确定GEO卫星轨道的积分滤波方法。并利用STK软件仿真产生所需数据,用MATLAB对提出的算法编程并进行仿真验证,结果表明,提出的方法性能优越,定轨精度较高。
Spaceborne global navigation satellite system (GNSS) method is used to overcome the problem of poor satellite visibility when using GPS for orbit determination of geostationary orbit (GEO) satellite. For FENGYUN geostationary satellite, the visibility of GEO satellite relative to GNSS in the future was analyzed. Since the sampling interval of navigation receiver is a little longer, an integral filter method, combined with the orbit integral and Kalman filter methods, was proposed to determine the geostationary satellite orbit. After generating the necessary data by STK software and programming by MATLAB software, a simulation test was made. The simulation results show that the performance of the proposed method is good and that accuracy of orbit determination for GEO satellite is higher.
出处
《中国空间科学技术》
EI
CSCD
北大核心
2011年第1期70-75,共6页
Chinese Space Science and Technology
基金
预研基金项目(4112003)
关键词
积分滤波法
星载全球导航卫星系统
定轨
地球静止轨道
卫星轨道
Integral filter method Spaceborne global navigation satellite system Orbit determination Geotationary orbit Satellite Orbit