| 卡尔曼滤波算法的灰色理论模型在变形监测中的应用 |
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| 引用本文： | 姜刚,杨志强,张贵钢.卡尔曼滤波算法的灰色理论模型在变形监测中的应用[J].测绘科学,2011,36(4):19-21. |
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| 作者姓名： | 姜刚 杨志强 张贵钢 |
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| 作者单位： | 长安大学地质工程与测绘学院,西安,710054 |
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| 摘 要： | 本文针对灰色理论模型在建模过程中受到随机扰动影响这一问题,提出了利用卡尔曼滤波处理建模数据的方法.经过实例检验,证明基于滤波算法的灰色理论模型在一定程度上可以提高预测值的精度,更好地反映了观测目标的变形趋势,在变形监测中具有一定的优势.
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| 关 键 词： | 卡尔曼滤波 GM(1 1)模型 收敛速度 预测值 变形监测 |
Application of gray model in deformation monitoring based on Kaiman filter method |
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| JIANG Gang,YANG Zhi-qiang,ZHANG Gui-gang.Application of gray model in deformation monitoring based on Kaiman filter method[J].Science of Surveying and Mapping,2011,36(4):19-21. |
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| Authors: | JIANG Gang YANG Zhi-qiang ZHANG Gui-gang |
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| Institution: | (College of Geology Engineering and Geomatics,Chang’an University,Xi’an 710054,China) |
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| Abstract: | In this paper,the problem which gray model is influenced by random disturbance during the mo del is built,was solved by using Kalman filter to improve the quality of data.Experiment results showed that gray model based on Kalman filter could enhance the accuracy of predicted value and reflect the deformation tendency better.The method would be superior in deformation monitoring. |
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| Keywords: | Kalman filter GM(1 1) model convergence rate predicted value deformation monitoring |
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