| 基于自适应卡尔曼滤波的地表移动变形预报研究 |
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| 引用本文： | 陈长坤,焦宝文,乔方,石长伟,肖明,苏迪.基于自适应卡尔曼滤波的地表移动变形预报研究[J].全球定位系统,2018,43(2):20-27. |
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| 作者姓名： | 陈长坤 焦宝文 乔方 石长伟 肖明 苏迪 |
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| 作者单位： | 1.安徽理工大学 测绘学院,安徽 淮南 232001 |
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| 摘 要： | 构建自适应卡尔曼滤波预报模型,利用GNSS CORS连续运行实时监测数据,通过自适应卡尔曼滤波预报值、标准卡尔曼滤波预报值及实测数据对比分析，得到自适应卡尔曼滤波预报偏差明显减小,预报精度明显提升,满足了地表移动变形实时监测的精度要求。
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| 关 键 词： | 标准卡尔曼滤波 自适应卡尔曼滤波 精度分析 GNSS CORS 地表移动变形 |
Study of Surface Movement and Deformation Prediction Based [JZ]on Adaptive Kalman Filtering |
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| Institution: | 1.School of Geodesy and Geomatics, Anhui University of Science and Technology, Huainan?232001,ChinaGuangDong ZhongGong Architectural Design Institute Co.,Ltd., Guangzhou?510700, China |
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| Abstract: | Construct a variance compensation adaptive Kalman filter forecasting model, using GNSS CORS to continuously run real time monitoring data, and compare and analyze the predicted Kalman filtering value, the standard Kalman filter forecast value and the measured data, and obtain the adaptive Kalman filter forecasting bias. Obviously reduced, the accuracy of forecasting has been significantly improved, which meets the accuracy requirements for real-time monitoring of surface movement deformation. |
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