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引用本文:黄令勇,吕志平,翟国君,欧阳永忠,吕浩,宫晓春.�۲�ֵ����ITRF��������о�[J].大地测量与地球动力学,2015,35(1):136-139.
作者姓名:黄令勇  吕志平  翟国君  欧阳永忠  吕浩  宫晓春
作者单位:1 信息工程大学地理空间信息学院, 郑州市陇海中路66号, 450052
2 海军海洋测绘研究所, 天津市友谊路40号, 300061
基金项目:国家自然科学基金(41274015,41274045,41374042),国家863计划(2013AA122501)
摘    要:??????????????ITRF??????μ???????????????????????????????????????????????????????о????????????????????????????????????????????о????????????????????????????????????????????????????????????????????ο??????м????????????????о????????????????????????Ч?????????????????????????Ч???ο???????Ч???

关 键 词:ITRF    ????????    ?????    ????????  
收稿时间:2014-01-14

Reserch on Solution Strategy of ITRF at Observation Level
HUANG Lingyong,Lv Zhiping,ZHAI Guojun,OUYANG Yongzhong,Lv Hao,GONG Xiaochun.Reserch on Solution Strategy of ITRF at Observation Level[J].Journal of Geodesy and Geodynamics,2015,35(1):136-139.
Authors:HUANG Lingyong  Lv Zhiping  ZHAI Guojun  OUYANG Yongzhong  Lv Hao  GONG Xiaochun
Institution:1 Institute of Geography Spatial Information, Information Engineering University, 66 Middle-Longhai Road,Zhengzhou 450052, China[JP]
2 Naval Institute of Hydrographic Surveying and Charting, 40 Youyi Road,Tianjin 300061,China
Abstract:The reason of ITRF computation inconsistency at normal equation level and the advantage of combination computation at observation level are analyzed. After summarizing the research status of combination computation at observation level, the solution procedure and key issues of combination computation at observation level are analyzed. In order to overcome the computing difficulty of combination computation at observation level, the combination computation strategy based on distributed process is advanced. And then the parallel computing flow and method of the ITRF solution are designed. The study results show that the ITRF solution strategy at observation level can improve the product consistency and the distributed process technique can improve the efficiency of ITRF solution.
Keywords:ITRF  the observation level  consistency  distributed process
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