摘要
卡尔曼滤波是当前应用最广的动态数据处理方法。文章针对GPS变形监测数据常规处理方法中的实际误差大、无法进行实时反映变形动态特性的缺点,通过对离散卡尔曼滤波基本原理的介绍,指出离散卡尔曼滤波法的优点及其在GPS变形监测数据处理中的适用数学模型,并通过三峡实测数据进行该方法使用说明及如何选择状态向量。
Nowadays, Kalman filter is a widely used method of data processing for deformation monitoring in the world. In consideration of the shortcoming in normal GPS data processing method of deformation monitoring, in which there has a big error and kinematical state can not be reflected, therefore, this paper, in view of the theory of discrete Kalman filter, proposed its advantage and a mathematical model for GPS data processing of deformation monitoring based on the surveying data in Three Gorge Dam. And this paper also explains how to use this method and how to select the state vector.
出处
《工程勘察》
CSCD
北大核心
2006年第7期55-57,共3页
Geotechnical Investigation & Surveying
关键词
离散卡尔曼滤波法
动态噪声
状态向量
discrete Kalman filter method
dynamic noises
state vector
