基于卡尔曼滤波的层析四维水汽分布研究  

Research of Four-dimensional Water Vapor Distribution Based on Kalman Filter Tomography Algorithm

作　　者：薛建华 曹海洋 张鹏飞[3,4] XUE Jian-hua;CAO Hai-yang;ZHANG Peng-fei(School of Architecture,Surveying and Mapping Engineering of Shanxi Datong University,Datong Shanxi,037003;Kaifeng Urban Planning Design and Survey Research Institute,Kaifeng Henan,475004;National Time Service Center,Chinese Academy of Sciences,Xi'an,710600;Key Laboratory of Time and Frequency Primary Standards,Chinese Academy of Science,Xi'an,710600)

机构地区：[1]山西大同大学建筑与测绘工程学院,山西大同037003 [2]开封市规划勘测设计研究院,河南开封475004 [3]中国科学院国家授时中心,陕西西安710600 [4]中国科学院时间频率基准重点实验室,陕西西安710600

出　　处：《山西大同大学学报（自然科学版）》2020年第2期67-70,共4页Journal of Shanxi Datong University(Natural Science Edition)

摘　　要：大气中水汽的变化直接影响着GPS信号的精度,同时对基于GPS的时间传递精度产生巨大的影响。首先建立了GPS斜路径信号湿延迟的层析格网模型,接着利用探空站的资料进行层析算法的正确性检验,然后基于卡尔曼滤波层析水汽算法层析了香港地区暴雨期间的水汽四维分布特征,最后利用层析产品初步分析了降水过程的水汽变化特征。结果表明,水汽的四维层析产品能更有效反映水汽的空间变化特征,对于实时监测水汽变化及高精度时间传递具有重要的实用价值。The changes of water vapor directly affect the signal of GPS and the high precise time service by GPS.We established GPS slant-path signal wet delay chromatography grid model,and then prove the algorithm by sounding data,at the same time,get the characteristics of the four-dimensional distribution of water vapor in the Hong Kong based on Kalman filter chromatography Algorithm,analyzed the precipitation process of water vapor changes during the rainstorm.The results showed that the four-dimensional water va⁃por chromatography products reflect the characteristics of the spatial variation of water vapor more effectively,and then it has important practical value for real-time monitoring the variables of water vapor and the high precise time service.

关 键 词：地基GPS水汽 卡尔曼滤波 层析 时间传递 

分 类 号：P228[天文地球—大地测量学与测量工程]