首页 | 本学科首页   官方微博 | 高级检索  
     检索      

自适应卡尔曼滤波在沉降预测中的应用
引用本文:孙连华,刘恒辉,徐久泰.自适应卡尔曼滤波在沉降预测中的应用[J].北京测绘,2013(6):7-10.
作者姓名:孙连华  刘恒辉  徐久泰
作者单位:安徽理工大学测绘学院,安徽淮南,232001;中国交通部第三航务工程局,上海,200120
摘    要:随着我国经济高速发展,对煤炭资源的需求与日俱增,矿山大量开采造成矿区地表大面积沉陷.对于地下采煤,地表点的移动经历一个由开始移动到剧烈移动,最后到停止移动的全过程.为了更好地掌握矿山开采地袁沉降移动规律,本文采用自适应卡尔曼滤波与标准卡尔曼滤波对其进行预测与分析.

关 键 词:标准卡尔曼滤波  沉降预测  自适应卡尔曼滤波

The Applications of Adaptive Kalman Filter in Settlement Prediction
SUN Lian-hua,LIU Heng-hui,XU Jiu-tai.The Applications of Adaptive Kalman Filter in Settlement Prediction[J].Beijing Surveying and Mapping,2013(6):7-10.
Authors:SUN Lian-hua  LIU Heng-hui  XU Jiu-tai
Institution:1. School of Geodesy and Gernatics, Anhui University of Science and Technology, Huainan Anhui 232001 ,China; 2. Ministry of Third Navigation Engineering Bureau of China, Shanghai 200120, China)
Abstract:With our country rapid economic development, our country "s demanding for coal resources increasing. A large area of surface mining subsidence caused by mass exploitation of mines. For underground coal mining, surface point moves through a dramatic move from the beginning to move to stop moving the entire process finally. In order to better grasp the mining surface subsidence movement law, this article uses adaptive Kalman Filter and the standard Kalman Filter predict and analyze the settlement of mine.
Keywords:standard Kalman filter  settlement prediction  adaptive Kalman Filter
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号