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| 小波分析在GPS动态监测数据粗差探测中的应用 | |
| 引用本文： | 陈向阳. 小波分析在GPS动态监测数据粗差探测中的应用[J]. 南通航运职业技术学院学报, 2013, 0(3): 47-50 |
| 作者姓名： | 陈向阳 |
| 作者单位： | 南通职业大学建筑工程学院,江苏南通226001 |
| 基金项目： | 南通职业大学自然科学资助项目“建筑变形监测及精度分析”（项目编号：1210105）. |
| 摘 要： | 文章分析了GPS监测数据序列中粗差的不确定性，提出了采用小波分析检测成片粗差，并通过实例进行应用分析，在此基础上进而对原变形数据序列中包含大量粗差的情况进行探测。实例分析表明，合理选择小波函数进行分析可以准确探测出粗差所在位置．解决了传统方法每次只能探测单个粗差的不足。 |
| 关 键 词： | 数据奇异点 小波分析 离散态粗差 区域态粗差 粗差探测 |
Application of Wavelet Analysis in Gross Error Detection of GPS Dynamic Monitoring Data |
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| CHEN Xiang-yang. Application of Wavelet Analysis in Gross Error Detection of GPS Dynamic Monitoring Data[J]. Journal of Nantong Vocational & Technical Shipping College, 2013, 0(3): 47-50 | |
| Authors: | CHEN Xiang-yang |
| Affiliation: | CHEN Xiang-yang (School of Architectural Engineering, Nantong Vocational College, Nantong 226001, China) |
| Abstract: | Based on an analysis of the uncertainty in gross error of GPS monitoring data, this article proposes applying wavelet analysis to gross error detection and makes an application analysis, on the basis of which, it studies the case of original deformation data containing a large number of gross error. The case study indicates that wavelet analysis can detect the location of gross error, which makes up the deficiency of traditional ways in this field. |
| Keywords: | Data singularity Wavelet analysis Discrete state error Regional state error Gross error detection |
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