| GNSS变形监测时间序列的改进型3σ粗差探测方法 |
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| 引用本文： | 吴浩,卢楠,邹进贵,郭世泰.GNSS变形监测时间序列的改进型3σ粗差探测方法[J].武汉大学学报(信息科学版),2019,44(9):1282-1288. |
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| 作者姓名： | 吴浩 卢楠 邹进贵 郭世泰 |
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| 作者单位： | 1.华中师范大学城市与环境科学学院, 湖北 武汉, 430079 |
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| 基金项目： | 国家重点研发计划2017YFE0109500国家自然科学基金41671406湖北省自然科学基金2016CFA013湖北省自然科学基金2016AHB015 |
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| 摘 要： | 针对全球导航卫星系统(global navigation satellite system，GNSS)变形监测时间序列中粗差多、大小分布区间大的特点，提出了一种基于小波分析的改进型3σ粗差探测方法。利用实验模拟数据和实际工程数据，分别对该方法的探测效果同常规3σ法和四分位间距(inter-quartile range，IQR)法进行对比。结果表明，改进型3σ粗差探测法相对于常规3σ法和IQR法，不仅在总体探测率上效果更好，而且对探测3σ~5σ粗差的优势更为明显，满足了高可靠性的GNSS变形监测实际需求。
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| 关 键 词： | GNSS变形监测 时间序列 粗差探测 改进型3σ法 |
| 收稿时间： | 2018-06-25 |
An Improved 3σ Gross Error Detection Method for GNSS Deformation Monitoring Time Series |
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| Institution: | 1.College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China2.School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China3.School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China |
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| Abstract: | Aiming at the characteristics of quantity and fluctuation range on the gross error from global navigation satellite system (GNSS) deformation monitoring time series, we propose an improved 3σ method of gross error detection based on wavelet analysis. We use simulated data and actual engineering data, and compare the detection results with the traditional 3σ method and inter-quartile range (IQR) method respectively. The experimental results show that compared with the traditional 3σ method and IQR method, the improved 3σ method not only has better effect on the overall detection rate, but also has more obvious advantages in detecting 3σ to 5σ gross error. Thus, it is more suitable for the actual requirement of GNSS deformation monitoring project. |
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