| 粗差检测与抗差估计相结合的方法在动态相对定位中的应用 |
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| 引用本文： | 王潜心,徐天河,许国昌.粗差检测与抗差估计相结合的方法在动态相对定位中的应用[J].武汉大学学报(信息科学版),2011(4):476-480. |
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| 作者姓名： | 王潜心 徐天河 许国昌 |
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| 作者单位： | 中南大学信息物理工程学院;德国地学研究中心;武汉大学测绘学院;西安测绘研究所 |
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| 基金项目： | 国家863计划资助项目(2006AA12Z322);国家自然科学基金资助项目(40604003);全国优秀博士学位论文作者专项资金资助项目(2007B51);中国博士后科学基金资助项目(20080430148,200902444) |
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| 摘 要： | 分析了粗差对GPS动态相对定位的影响,给出了相应的影响函数和抗差估计方法。建议采用粗差探测与抗差估计相结合的方法来处理GPS动态定位中的粗差问题。抗差估计中的等价权分别采用了IGG3方案和双因子等价权函数,对两种方案的效果进行比较和分析,并利用实测数据对所提方法的实际效果进行了检验。结果表明,基于粗差探测和抗差估计相结合的粗差处理方法可有效控制和抵御粗差的影响;分别采用IGG3方案和双因子等价权函数的定位结果差异较小。
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| 关 键 词： | 抗差估计 GPS动态定位 粗差探测 |
Application of Combining Method of Outlier Detection and Robust Estimation to GPS Kinematic Relative Positioning |
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| WANG Qianxin,XU Tianhe,XU Guochang.Application of Combining Method of Outlier Detection and Robust Estimation to GPS Kinematic Relative Positioning[J].Geomatics and Information Science of Wuhan University,2011(4):476-480. |
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| Authors: | WANG Qianxin XU Tianhe XU Guochang |
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| Institution: | 1 School of Info-Physics and Geomatics Engineering,Central South University,932 South Lushan Road,Changsha 410083,China)(2 Department of Geodesy and Remote Sensing,Germany GeoForschungsZentrum,Potsdam 14473,Germany)(3 School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China)(4 Xi’an Research Institute of Surveying and Mapping,1 Middle Yanta Road,Xi’an 710054,China) |
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| Abstract: | A numerical simulation was performed to analyze the influence of outliers on GPS kinematic relative positioning.The influence function of errors and the method of robust estimation are given.In order to deal with the outliers in GPS airborne kinematic relative positioning,a combining method of outlier detection and robust estimation is proposed.It includes two steps: firstly,the gross errors are detected and deleted based on the median method in the data preprocessing;then the residual outliers is controlled by the robust estimation in the parameter adjustment.To verify the validation of this method,several experiments are performed.The results show that the influence of the outliers can be effectively controlled and the computing speed is improved,when the combining method are adopted.The kinematic positioning results are compared with those of TGO software and GAMIT software,which shows that the positioning precision of proposed method is about cm-level. |
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| Keywords: | robust estimation GPS kinematic positioning outlier detection |
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