顾及卫星间相关性的Kalman短期钟差预报  

A method of Kalman filter multi-satellite clock offset short-term prediction based on intersatellite correlation

作　　者：杨旭[1,2,3] 王潜心[4] 吕伟才[1,2,3] 钟东升 谭福临 YANG Xu;WANG Qianxin;LYU Weicai;ZHONG Dongsheng;TAN Fulin(Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring,Anhui University of Science and Technology,Huainan,Anhui 232001,China;School of Geomatics,Anhui University of Science and Technology,Huainan,Anhui 232001,China;Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes,Anhui University of Science and Technology,KLAHEI(KLAHEI18015),Huainan,Anhui 232001,China;School of Environmental Science and Spatial Informatics,China University of Mining and Technology,Xuzhou,Jiangsu 221116,China)

机构地区：[1]安徽理工大学矿区环境与灾害协同监测煤炭行业工程研究中心,安徽淮南232001 [2]安徽理工大学空间信息与测绘工程学院,安徽淮南232001 [3]安徽理工大学矿山采动灾害空天地协同监测与预警安徽普通高校重点实验室,安徽淮南232001 [4]中国矿业大学环境与测绘学院,江苏徐州221116

出　　处：《导航定位学报》2022年第3期59-68,共10页Journal of Navigation and Positioning

基　　金：安徽理工大学人才引进科研启动基金项目;矿山环境与灾害空天地协同监测煤炭行业工程研究中心2020年度开放基金项目(KSXTJC202005);安徽省教育厅自然科学重点项目(KJ2020A0311);安徽省重点研究与开发计划项目(202104a07020014);安徽省科技重大专项项目(202103a05020026);安徽省教育厅大学生创新创业训练计划项目(S202010361264,S202010361266,S202110361254)。

摘　　要：针对卫星钟受轨道影响而产生的卫星间相关性,提出顾及卫星间相关性的卡尔曼(Kalman)滤波多系统卫星钟差短期预报方法,对连续27天的德国地学研究中心(GFZ)事后多GNSS(全球卫星导航系统)精密钟差(GBM)频率稳定性、周期特性进行分析,并利用阿伦(Allan)方差和哈达玛(Hadamard)方差求取该预报模型随机噪声。1、3 h的预报实验结果表明,该预报模型精度相对于顾及卫星间相关性的附加周期项二次多项式、附加周期项二次多项式、Kalman滤波模型分别提升了8.95%,46.66%,7.35%。Aiming at the inter-satellite correlation caused by the influence of satellite orbit on clock offset,a method of Kalman filter multi-satellite clock offset short-term prediction based on inter‑satellite correlation is proposed.The frequency stability and period characteristics of the Deutsches GeoForschungsZentrum(GFZ)multi-GNSS precise clock(GBM)for 27 consecutive days are analyzed,and the Allan variance and Hadamard variance are used to calculate the random noise of the prediction model.The results of 1 h and 3 h prediction experiments show that the accuracy of the prediction model is improved by 8.95%,46.66%and 7.35%,respectively,compared with the quadratic polynomial with additional period term considering the inter-satellite correlation,quadratic polynomial with additional period term and traditional Kalman filter models.

关 键 词：卫星钟差预报 卫星间相关性 卡尔曼滤波 多卫星导航系统 频率稳定性 

分 类 号：P228[天文地球—大地测量学与测量工程]