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作 者:胡锦民 HU Jinmin(China Railway Design Corporation,Tianjin 300308,China)
出 处:《海洋测绘》2023年第3期49-53,共5页Hydrographic Surveying and Charting
基 金:中国铁路设计集团有限公司科技开发课题(2023A0253801)。
摘 要:常规精密单点定位实时反演水汽,存在精度低或稳定性差等问题,因此提出了一种基于参考站改正信息的PPP实时水汽反演方法。首先利用参考站的天顶对流层延迟解算观测值改正信息,然后对流动站共视卫星的观测值进行误差改正,利用IGU预报星历和钟差产品,采用PPP算法进行实时水汽反演。以中国香港HKSC为流动站,分别选取中国台湾TWTF和中国香港HKWS作为参考站,开展参考站辅助的PPP实时水汽反演试验。结果表明,分别以无线电探空数据和ECMWF数据为参考,本方法4个时段的平均标准差分别为1.9mm和2.9mm;相比基于IGU的常规PPP实时水汽反演方法,精度分别提升60%和51%。本方法参考站的选择不受距离限制,精度与使用IGS事后精密星历的PPP水汽反演基本一致,相比常规PPP和相对定位方式的实时水汽反演具有明显优势。Conventional real-time water vapor inversion with the precise point positioning(PPP)solution has some problems such as low accuracy or poor stability,this paper proposes a method for real-time water vapor inversion with PPP based on reference station corrections.Firstly,the corrections of the reference station are obtained by using the known zenith tropospheric delay,then the reference station corrections are used to correct the observations of the common-view GPS satellites in rover station,and IGU predicted ephemeris and clock products are used for the PPP to realize the real-time water vapor inversion.Taking HKSC site in Hong Kong,China as the rover station,TWTF site in Taiwan Province and HKWS site in Hong Kong,China as the reference stations,the experiment of real-time water vapor inversion with PPP assisted by the reference station was carried out.The results show that using the radiosonde data and ECMWF data as reference,the mean standard deviation of four observation sessions is 1.9 mm and 2.9 mm respectively.Compared with the solution of conventional real-time PPP using IGU predicted product,the accuracy is improved by 60%and 51%respectively.The selection of reference stations is not limited by distance,and the accuracy of the proposed method is basically the same as that of the water vapor inversion with PPP using the IGS post-ephemeris,which has obvious advantages over the conventional PPP and relative positioning methods.
关 键 词:GNSS水汽反演 精密单点定位 IGU预报星历和钟差 参考站改正信息 共性误差 大气可降水量
分 类 号:P228[天文地球—大地测量学与测量工程]
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