自适应卡尔曼滤波法用于变形监测数据处理  

Application of adaptive Kalman filter method to the date processing of deformation monitoring

作　　者：陈蕾[1] 刘立龙[1] 陈东银[1] 

机构地区：[1]桂林工学院土木工程系,广西桂林541004

出　　处：《测绘工程》2008年第1期48-50,54,共4页Engineering of Surveying and Mapping

基　　金：国家自然科学基金资助项目(40574002);广西省青年科学基金资助项目(0728097)

摘　　要：卡尔曼滤波作为一种动态数据处理方法广泛应用在变形监测数据处理中。文中针对传统卡尔曼滤波因动态噪声不准或不容易确定影响结果准确度的问题,提出并探讨了方差补偿自适应卡尔曼滤波,并通过传统卡尔曼滤波和自适应卡尔曼滤波对GPS变形监测数据进行处理,其结果表明方差补偿自适应卡尔曼滤波对GPS变形监测具有很好的剔除噪声的作用,效果明显。The Kalman filtering as a dynamic data processing method widely used in data processing of deformation monitoring. Considering the accuracy problem of filtering resulting from the inaccurate dynamic noise of the Kalman filter, an adaptive Kalman filtering based on variance compensation is advanced. And through the traditional Kalman filtering and adaptive Kalman filtering to GPS deformation monitoring data processing, the results show that the adaptive Kalman filtering can efficiently suppress the noise of GPS deformation monitoring.

关 键 词：变形监测 卡尔曼滤波 自适应 方差补偿 

分 类 号：TU196[建筑科学—建筑理论] O211.64[理学—概率论与数理统计]