摘要
在最终及快速精密星历时延较长的前提下,提出利用广播星历及对应的超快速精密星历(观测部分)构建轨道误差序列,建立一种基于奇异谱分析(SSA)的全球卫星导航系统(GNSS)广播星历轨道实时改正方法,其目的是通过实时改正广播星历轨道,提高当前广播星历轨道的精度。以GPS卫星广播星历及其对应的超快速精密星历为例,对该方法的可行性进行了实验分析,结果表明:不同卫星、不同轨道方向的改善比是不同的;整体上看,径向、切向、法向轨道出现正改善比的卫星数占总卫星数的比率分别为86.7%、90%、93.3%。实验结果表明本方法可以用来实时改正广播星历的轨道。
On the premise of the long delay of the final and rapid precise ephemeris,a real-time correction method of global navigation satellite system(GNSS)broadcast ephemeris orbit based on singular spectrum analysis(SSA)was established by using orbit error sequences constructed by broadcast ephemeris and corresponding ultra-rapid precise ephemeris(observation part).Its purpose is to correct the broadcast ephemeris orbit in real time so as to improve the accuracy of the current broadcast ephemeris orbit.The feasibility of the method was experimentally verified by using the GPS satellite broadcast ephemeris as an example.The results show that the improvement ratios of orbits in different orbit directions are different for different satellites.On the whole,the number of satellites with positive improvement ratio in the radial,tangential,and normal directions accounted for 86.7%,90%,and 93.3%of the total satellites respectively,indicating that the method can be used to correct the broadcast ephemeris orbit in real time.
作者
刘路
郭金运
周茂盛
刘新
纪兵
LIU Lu;GUO Jinyun;ZHOU Maosheng;LIU Xin;JI Bing(College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei 430079, China;Department of Navigation Engineering, Naval University of Engineering, Wuhan, Hubei 430033, China)
出处
《山东科技大学学报（自然科学版）》
CAS
北大核心
2021年第3期9-17,共9页
Journal of Shandong University of Science and Technology(Natural Science)
基金
国家自然科学基金项目(41774001,41774021,41874091)
国家测绘自主可控专项(816-517)。
关键词
全球导航卫星系统
广播星历
精密星历
轨道误差
奇异谱分析
global navigation satellite system(GNSS)
broadcast ephemeris
precise ephemeris
orbit error
singular spectrum analysis(SSA)
