船载GNSS探测海洋水汽信息的影响因子分析

发布时间：2018-02-13 17:21

本文关键词： 海洋水汽 GNSS 精密单点定位高程可降水份　出处：《武汉大学学报(信息科学版)》2017年02期 　论文类型：期刊论文

【摘要】：利用船载全球卫星导航系统(global navigation satellite system,GNSS)方式探测海洋水汽含量,可丰富海洋水汽观测量和观测密度。利用印度洋航次试验实测数据,基于精密单点定位技术对海洋上空可降水份探测的精度问题进行了研究,主要分析了GNSS高程与可降水份之间存在的耦合关系,标定了动态GNSS的高程精度,分析了不同算法对可降水份估值的影响。结果显示:1固定解与浮点解、多系统与单系统对可降水份估算的影响不大,而不同软件、不同卫星星历和钟差产品对可降水份估算的影响较大,量级为2~4mm;2高程与可降水份之间存在耦合关系,经初步估算,高程的均方根误差每增加24mm,则可降水份估值的均方根误差相应增加约1mm;3惯性测量单元垂荡值与精密单点定位高程结果之间的相关系数高达99%,二者的互差优于30mm,满足动态GNSS海洋水汽估计对高程精度的要求。
[Abstract]:The method of global navigation satellite GNSS (Global navigation satellite system GNSS) is used to detect ocean water vapor content, which can enrich the observation quantity and density of ocean water vapor, and use the measured data of the Indian Ocean voyage test. Based on the precise single point positioning technique, the accuracy of reducible water detection over the ocean is studied. The coupling relationship between GNSS elevation and reducible moisture is analyzed, and the elevation accuracy of dynamic GNSS is calibrated. The effect of different algorithms on reducible water estimation is analyzed. The results show that the fixed solution and floating-point solution of 1, the multi-system and single-system have little effect on the estimation of reducible water, but different software, The different satellite ephemeris and clock difference products have a great influence on the estimation of reducible water content. The order of magnitude is 2 ~ 4mm ~ 2 height and there is a coupling relationship between the elevation and the reducible water content. If the RMS error of elevation increases by 24mm, the RMS error of RMS can be reduced by about 1mmm3. The correlation coefficient between the vertical value of inertial measurement unit and the height result of precise single point positioning is as high as 99mm. The difference between them is better than 30mm. The requirement of elevation accuracy for full dynamic GNSS Ocean Water Vapor estimation.
【作者单位】：武汉大学测绘学院;国家海洋局第一海洋研究所;中国石油大学(华东)地球科学与技术学院;辉固英特赛特有限责任公司;智能方案集团约翰迪尔;
【基金】：国家自然科学基金(41374044,41274011)~~
【分类号】：P228.4;P714

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