| 同时检测监测网的异常形变和粗差 |
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| 引用本文： | 柴艳菊,欧吉坤.同时检测监测网的异常形变和粗差[J].大地测量与地球动力学,2003,23(1):64-68. |
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| 作者姓名： | 柴艳菊 欧吉坤 |
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| 作者单位： | 中科院测量与地球物理研究所动力大地测量学开放试验室,武汉,430077 |
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| 基金项目： | 国家自然科学基金 ( 4 0 0 740 0 3)，中科院知识创新工程 (KZCX2 -10 6 ) |
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| 摘 要： | 粗差干扰影响形变分析成果的质量，以往都是粗差与异常变形分开来检测，即对每一期观测锡除粗差后再进行平差，然后利用两期或多期平差结果进行形变分析，这两步是重复的，为此，从位移观测方程入手，根据粗差检测与异常形变检测相似的特点，提出将粗差与异常形变同时检测，根据二者的不同特点，将它们区分开的新思路。通过算例分析比较了拟准检定法、假设检验法及相关抗差估计方案的检测效果，结果表明拟准检定法具有比其它两种方法实施简单、定位准确的优点，同时验证了这种思路的可行性。
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| 关 键 词： | 粗差 异常形变 拟准检定法 抗差估计 假设检验法 可行性 |
| 文章编号： | 1671-5942(2003)01-0064-05 |
| 修稿时间： | 2002年10月14 |
SIMULTANEOUSLY DETECTING ANOMALOUS DEFORMATION AND GROSS ERRORS IN A MONITORING NET |
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| Chai Yanju and,Ou Jikun.SIMULTANEOUSLY DETECTING ANOMALOUS DEFORMATION AND GROSS ERRORS IN A MONITORING NET[J].Journal of Geodesy and Geodynamics,2003,23(1):64-68. |
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| Authors: | Chai Yanju and Ou Jikun |
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| Abstract: | The quality of deformation analysis is greatly affected by the disturbance of gross errors. In the past the anomalous deformation and gross error are often dealt with separately by the availeble methods, i.e. the adjustment is done after the gross errors have been eliminated from the observations of each period firstly and then the deformation is analyzed with the help of adjusted results in two or multi periods. This two steps are repeated to a certain extent. The new idea for simultaneously detecting anomalous deformations and gross errors is put forward because of the similarity of gross errors detection and anomalous deformations detection from displacement equation in this paper. Then the anomalous deformations and gross errors are told apart according to their different characters. This idea is rather direct and simple. At last, the results of Quasi-accurate detection a Robust estimation and hypothesis test method are analyzed and compared with eath other through an example. The results show that the quasi-accurate detection has the virtues that the implement is relatively simple and the location is more accurate and the feasibility of this idea is certified. |
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| Keywords: | gross error anomalous deformation quasi-accurate detection robust estimation hypothesis test |
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