| IGS RTS钟差数据中断的实时修复方法研究 |
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| 引用本文： | 范士杰,崔凯,彭秀英,顾宇翔.IGS RTS钟差数据中断的实时修复方法研究[J].测绘工程,2021,30(3):9-14. |
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| 作者姓名： | 范士杰 崔凯 彭秀英 顾宇翔 |
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| 作者单位： | 中国石油大学(华东)海洋与空间信息学院,山东青岛266580 |
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| 基金项目： | 山东省自然科学基金资助项目(ZR2019MD005;ZR2017LD009)。 |
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| 摘 要： | 针对IGS RTS实时数据流产品在网络传输过程中普遍存在的数据中断问题,基于卫星钟差预报算法,文中提出实时“预报修复”方法,以钟差预报值实时修复发生中断历元的钟差数据。通过对RTS数据中断区间分布的统计分析,确定钟差预报的时间长度为5 min;采用改进的灰色系统模型,对不同时间长度初始数据的钟差预报结果进行对比,确定初始数据时间长度为10 min。以IGS事后精密卫星钟差产品为参考,对连续7 d RTS钟差产品的实时预报修复效果进行验证。以IGS02产品为例,连续7 d预报修复钟差值的平均RMS优于0.17 ns,预报修复后24 h钟差产品的RMS均在0.22 ns以内。
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| 关 键 词： | 实时数据流 数据中断 卫星钟差预报 实时修复 |
Real-time repair method for data interruption of IGS RTS clock products |
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| FAN Shijie,CUI Kai,PENG Xiuying,GU Yuxiang.Real-time repair method for data interruption of IGS RTS clock products[J].Engineering of Surveying and Mapping,2021,30(3):9-14. |
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| Authors: | FAN Shijie CUI Kai PENG Xiuying GU Yuxiang |
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| Institution: | (College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China) |
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| Abstract: | Based on the algorithms of satellite clock error prediction,a real-time repair method for IGS RTS satellite clock error data is proposed to solve the data interruption problem during the network transmission of the real-time data streams.The predicted values for satellite clock error are used to repair the interrupted satellite clock error data in real time.According to the statistical analysis of the interrupt interval distribution of RTS data,the time span for predicting is set to 5 minutes.The improved grey system model is adopted to compare the satellite clock error prediction result of the initial data with different time spans,and the initial data time span is determined to be 10 minutes.Using IGS final satellite clock error products as a reference,the real-time repaired RTS clock error result for 7 days is verified.Taken IGS02 product as the example,the result shows that the average RMS of the repaired satellite clock error data for 7 days is better than 0.17 ns,and the RMS of the repaired satellite clock error products for 24 hours is within 0.22 ns. |
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| Keywords: | real-time data stream data interruption satellite clock error prediction real-time repair |
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