| 一次范数最小和选权迭代联合的抗差法 |
| |
| 引用本文： | 赵言,黎慕韩,王鹏,周磊.一次范数最小和选权迭代联合的抗差法[J].大地测量与地球动力学,2016,36(4):331-333. |
| |
| 作者姓名： | 赵言 黎慕韩 王鹏 周磊 |
| |
| 作者单位： | 天津市测绘院 |
| |
| 摘 要： | 联合一次范数最小和选权迭代法进行抗差估计。使用一次范数进行粗差定位，在确定粗差位置后，对相应的观测值进行降权，以此作为选权迭代法的初始权进行迭代平差，解决初始权不合理导致选权迭代法失效的问题。最后以水准网数据验证了该联合法的正确性。
|
| 关 键 词： | 一次范数 选权迭代法 抗差 水准网 |
A Robust Estimation Method Combined First Order Minimum Norm and Selecting Weight Iteration Method |
| |
| ZHAO Yan;LI Muhan;WANG Peng;ZHOU Lei.A Robust Estimation Method Combined First Order Minimum Norm and Selecting Weight Iteration Method[J].Journal of Geodesy and Geodynamics,2016,36(4):331-333. |
| |
| Authors: | ZHAO Yan;LI Muhan;WANG Peng;ZHOU Lei |
| |
| Institution: | ZHAO Yan;LI Muhan;WANG Peng;ZHOU Lei;Tianjin Surveying and Mapping Institute; |
| |
| Abstract: | If there are no ideas of the locations of gross errors, selecting weight iteration method runs the first adjustment with equal weight. It leads to gross errors transferred to other observations. The robust estimation will fail because of incorrect weight. The first order minimum norm has the ability to resist gross errors, but is not optimal under Gaussian distribution. Combined two methods above, which the first order minimum norm is used to determine the location of gross errors, and then selecting weight iteration method reduces weight of those gross errors, we propose a novel robust estimation. The novel method is validated by a level net data processing. |
| |
| Keywords: | first order minimum norm selecting weight iteration method robust estimation level net |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《大地测量与地球动力学》浏览原始摘要信息 |
| 点击此处可从《大地测量与地球动力学》下载免费的PDF全文 |
