| 方差补偿自适应卡尔曼滤波在GPS滑坡监测中的应用研究 |
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| 引用本文： | 高雅萍,张勤.方差补偿自适应卡尔曼滤波在GPS滑坡监测中的应用研究[J].水土保持研究,2008(6). |
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| 作者姓名： | 高雅萍 张勤 |
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| 作者单位： | 成都理工大学;长安大学; |
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| 摘 要： | 卡尔曼滤波是目前处理滑坡监测数据的主要方法。针对传统卡尔曼滤波中动态噪声不准或不容易确定而导致滤波发散的现象,提出用动态噪声的方差阵补偿法对滤波中的方差-协方差误差进行修正,结合三峡实测数据处理,证明该方法能有效地克服滑坡监测数据处理中滤波模型发散的问题。
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| 关 键 词： | 自适应卡尔曼滤波 方差补偿 预报残差 |
The Application of Self-adapting Kalman Filtering in Landslides Monitoring Based on GPS |
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| GAO Ya-ping,ZHAN Qin.The Application of Self-adapting Kalman Filtering in Landslides Monitoring Based on GPS[J].Research of Soil and Water Conservation,2008(6). |
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| Authors: | GAO Ya-ping ZHAN Qin |
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| Institution: | GAO Ya-ping1,ZHAN Qin2(1.Chengdu University of Technology,Chengdu 610059,China,2.Chang\'an University,Xi\'an 710000,China) |
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| Abstract: | Kalman filter is the most used method of data processing of landslides monitoring in present.Dynamic noise is inaccuracy and it easily lead to model divergence in common Kalman filtering.Based on this shortcoming,the paper mainly put forward the variance-compensation of dynamic noise corrected the error of the variance-covariance in filtering,improves the solution precision.Then combing with the actual data in Three Gorges,it is improved that this method can effectively overcome the divergence of filtering ... |
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| Keywords: | self-adapting Kalman filtering variance-compensation predicted residual |
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