Determination of synthetic covariance matrices — An application to GPS monitoring measurements
Determination of synthetic covariance matrices — An application to GPS monitoring measurements
复制标题
合成协方差矩阵的确定 — GPS 监测测量的应用
DOI：
10.5281/zenodo.40440
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
V. Schwieger
中科院分区：
文献类型：
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作者：
V. Schwieger
本文介绍了一种对测量量的方差和相关性进行建模的方法。基本误差模型是这种方法的基础，该方法导致合成协方差矩阵。测量经常是相关的，并且这些相关性会影响后续处理和相应的结果。在利用全球定位系统(GPS)进行精确测量的基础上，给出了模型的建立及其对结果的影响。由于监测测量应导致探测厘米到毫米级别内的位移和变形，因此正确地建立相关性模型是很重要的。利用GPS测量的位移向量在罗马尼亚探测构造运动的标准偏差可能较小，最高可达69%。这使得能够显著地检测到较小的位移。
This paper deals with a method to model variances and correlations for measurement quantities. The model of elementary errors is the base for this approach that leads to synthetic covariance matrices. Frequently measurements are correlated and these correlations influence the following processing and the respective results. The modelling and the influence on the results are presented on the base of precise measurements using the Global Positioning System (GPS). Due to the fact that monitoring measurements should lead to the detection of displacements and deformations within the level of cm up to mm the correct modelling of the correlations is important. The standard deviation of the displacement vector using GPS measurements for the detection of tectonic movements in Romania may be smaller up to 69 %. This allows the significant detection of smaller displacements.