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| 卡尔曼滤波在坝体变形监测中的应用 | |
| 引用本文： | 陈帅,赵丽,李超,丁胡进. 卡尔曼滤波在坝体变形监测中的应用[J]. 全球定位系统, 2011, 36(5): 83-84,90 |
| 作者姓名： | 陈帅 赵丽 李超 丁胡进 |
| 作者单位： | 安徽理工大学测绘学院,安徽淮南,232001 |
| 摘 要： | 介绍了卡尔曼滤波算法的基本思想,通过建立卡尔曼滤波模型对某大坝变形监测数据进行处理,结果表明：卡尔曼滤波算法能够有效地减弱随机噪声的干扰,并能较准确地对未来时刻的状态进行预测。 |
| 关 键 词： | 卡尔曼滤波 随机噪声 变形监测 大坝 |
Application of Kalman Filtering in Dam Deformation Monitoring |
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| CHEN Shuai,ZHAO Li,LI Chao,DING Hu-jin. Application of Kalman Filtering in Dam Deformation Monitoring[J]. Gnss World of China, 2011, 36(5): 83-84,90 | |
| Authors: | CHEN Shuai ZHAO Li LI Chao DING Hu-jin |
| Affiliation: | CHEN Shuai,ZHAO Li,LI Chao,DING Hu-jin(School of Geodesy and Geomatics,Anhui University of Science and Technology,Huainan Anhui 232001,China) |
| Abstract: | The paper introduces the basic thought of Kalman filtering algorithm,establishes the model of Kalman filtering,and it is applied to process the data from dam deformation monitoring.The results show that the Kalman filtering can suppress the interference of random noise efficiently and predict the status in the future quite well. |
| Keywords: | Kalman filtering random noise deformation monitoring dam |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |