联合GNSS和SLR观测对地球自转参数的解算与分析

魏二虎, 万丽华, 金双根, 刘经南

魏二虎, 万丽华, 金双根, 刘经南. 联合GNSS和SLR观测对地球自转参数的解算与分析[J]. 武汉大学学报 ( 信息科学版), 2014, 39(5): 581-585. DOI: 10.13203/j.whugis20120213
引用本文: 魏二虎, 万丽华, 金双根, 刘经南. 联合GNSS和SLR观测对地球自转参数的解算与分析[J]. 武汉大学学报 ( 信息科学版), 2014, 39(5): 581-585. DOI: 10.13203/j.whugis20120213
WEI Erhu, WAN Lihua, JIN Shuanggen, LIU Jingnan. Estimation of ERP with Combined Observations of GNSS and SLR[J]. Geomatics and Information Science of Wuhan University, 2014, 39(5): 581-585. DOI: 10.13203/j.whugis20120213
Citation: WEI Erhu, WAN Lihua, JIN Shuanggen, LIU Jingnan. Estimation of ERP with Combined Observations of GNSS and SLR[J]. Geomatics and Information Science of Wuhan University, 2014, 39(5): 581-585. DOI: 10.13203/j.whugis20120213

联合GNSS和SLR观测对地球自转参数的解算与分析

基金项目: 武汉大学测绘学院2012年本科专业综合改革教学研究资助项目(201220);国家自然科学基金资助项目(41374012);卫星导航定位系列课程国家级教学团队资助项目(214275482)
详细信息
    作者简介:

    魏二虎,博士,教授,博士生导师,现主要从事空间大地测量和地球动力学研究。

  • 中图分类号: P228.42

Estimation of ERP with Combined Observations of GNSS and SLR

Funds: Comprehensive Reform Research Program for 2012Undergraduate Teaching in School of Geodesy and Geomatics ofWuhan University,No.201220;the National Natural Science Foundation of China,No.41374012;Foundation for National TeachingTeam of Satellite Navigation Courses,No.214275482.
More Information
    Author Bio:

    WEI Erhu,PhD,professor,PhD supervisor,specializes in space geodesy and geodynamics.

  • 摘要: 目的 选取不同数量的IGS站,分别利用GPS和GPS+GLONASS观测数据计算ERP参数,并将结果和IGS公布值进行比较,分析测站数量增加和加入GLONASS观测数据对解算ERP参数的影响。此外,还利用GLO-NASS卫星的全部卫星激光测距(SLR)数据进行ERP参数解算,并将SLR结果和GNSS解算结果联合计算ERP,结果表明,联合SLR可改善GNSS数据解算ERP参数及高频ERP参数的系统性误差影响和稳定性。
    Abstract: Objective By selecting different number of IGS tracking stations,ERP parameters are estimated fromGPS observations and the combined observations of GPS and GLONASS,respectively.The influencesincurred by increasing the number of stations and adding GLONASS observations to the estimatedERP parameters are analyzed by comparing results to IGS published values.Thirdly,the ERP param-eters are estimated with SLR data from GLONASS satellites.Finally,ERP parameters are estimatedwith joined results from SLR and GNSS.This research shows that not only that the systematic errorsof ERP or High-frequency ERP estimated from GNSS observations are ameliorated,but also the sta-bility of estimated ERP is improved greatly when using the joined results from SLR and GNSS.
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出版历程
  • 收稿日期:  2013-03-24
  • 修回日期:  2014-05-04
  • 发布日期:  2014-05-04

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