首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种卫星钟自相关的实时钟差预报算法
引用本文:杨旭,王潜心,吕伟才.一种卫星钟自相关的实时钟差预报算法[J].测绘科学,2021,46(1):24-35,48.
作者姓名:杨旭  王潜心  吕伟才
作者单位:安徽理工大学空间信息与测绘工程学院,安徽淮南232001;中国矿业大学自然资源部国土环境与灾害监测重点实验室,江苏徐州221116;安徽理工大学空间信息与测绘工程学院,安徽淮南232001
基金项目:国家科技基础性专项;国家自然科学基金重点项目;国家自然科学基金项目;安徽理工大学引进人才科研启动基金项目
摘    要:针对实时精密单点定位(RT-PPP)中实时数据流存在中断、延迟等问题,该文构建了顾及卫星钟自相关的随机模型,提出了一种基于方差分量估计的自适应卡尔曼滤波钟差超短期/短期预报算法,评估了连续27d实测法国空间研究中心(CNES)实时数据流CLK93产品完整率和精度水平,利用哈达玛方差对比分析了该实时产品与德国地学研究中心(GFZ)事后GBM产品的频率稳定性。利用本文算法与传统卡尔曼算法对两类产品进行预报,结果显示:CLK93产品BDS系统(C)、GPS系统(G)、GLONASS系统(R)、Galileo系统(E)30s和1min预报精度分别平均提升了8.50%、8.44%、7.20%、6.96%;GBM产品相应4个系统12h和24h预报精度分别平均提升了3.14%、3.53%、0.96%、10.01%。

关 键 词:实时钟差预报  自相关性  多GNSS  自适应Kalman滤波

A real-time clock offset prediction algorithm based on satellite clock offset autocorrelation
YANG Xu,WANG Qianxin,LYU Weicai.A real-time clock offset prediction algorithm based on satellite clock offset autocorrelation[J].Science of Surveying and Mapping,2021,46(1):24-35,48.
Authors:YANG Xu  WANG Qianxin  LYU Weicai
Institution:(School of Geomatics,Anhui University of Science and Technology,Huainan,Anhui 232001,China;Key Laboratory for Land Environment and Disaster Monitoring,Ministry of Natural Resources,China University of Mining and Technology,Xuzhou,Jiangsu 221116,China)
Abstract:For the problems of interruption and delay of real-time data streams in real time precise point positioning(RT-PPP),this paper constructed a stochastic model that took into account satellite clock offset autocorrelation,and proposed an adaptive Kalman filter algorithm based on variance component estimation for the ultra-short-term/short-term clock offset prediction.Considering the realtime satellite clock offset estimation,or the ultra-short or short term clock offset prediction having been required by the prosperity of real-time multi-GNSS precision single-point positioning(PPP)technique,a new adaptive Kalman filter was proposed to perform the prediction of the multi-system real-time clock offset.The noise level of the dynamic model was adjusted online based on the method of the variance component estimation and the time correlation of clock offset was also considered.The integrity rate and the accuracy level of real-time data stream CLK93 products of Centre National d’Etudes Spatiales(CNES)of 27consecutive days were assessed.The frequency stability of the real-time products and the corresponding final GBM products of the Geo Forschungs Zentrum(GFZ)were anlysised by using Hadamard variance.The comparison results aomong the prediction with the new model and the traditional Kalman model showed that:for the 30sand 1minutes predictions of CLK93products,an improvement for the new model over the traditional mode with average increasing rates was 8.50%(BDS),8.44%(GPS),7.20%(GLONASS),and 6.96%(Galileo)respectively;For the 12hours and 24hours predictions of GBM products,an improvement for the new model over the traditional mode with average increasing rates was 3.14%(BDS),3.53%(GPS),0.96%(GLONASS),and 10.01%(Galileo)respectively.
Keywords:real-time clock offset prediction  autocorrelation  multi-GNSS  adaptive Kalman filter
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号