GPS变形监测动态数据处理中卡尔曼滤波的应用  

Application of Kalman Filtering in the Processing of GPS Kinematics Data of Deformation

作　　者：高雅萍[1] 冯晓亮[2] 

机构地区：[1]成都理工大学地球科学学院,四川成都610059 [2]中国地质科学院探矿工艺研究所,四川成都610081

出　　处：《海洋测绘》2006年第4期36-38,共3页Hydrographic Surveying and Charting

摘　　要：介绍了卡尔曼滤波的基本原理,针对常规GPS变形监测数据处理中存在着不连续、非实时的缺点,结合卡尔曼滤波的特点,运用三峡实测数据对GPS变形监测动态数据处理中卡尔曼滤波的应用进行研究。并采用各点点位位移速度图对所建立的函数模型进行验证,同时对状态方程的建立及初始值的选取进行分析总结。The paper firsdy introduced the basic theory of Kalman filtering , then aimed at the shortcoming of GPS conventional deformation monitoring data processing which were not continuous and in real time. Combined with character of Kalman filtering, it applies Kalman faltering in dynamic data processing of GPS deformation monitoring based on Three Gorges data. Finally, it validated established model with each point displacement velocity chart, analyzed and summarized the established of state equation and selection of initial value at the same time.

关 键 词：全球定位系统 卡尔曼滤波 状态参数 随机噪声 最小二乘 

分 类 号：P227[天文地球—大地测量学与测量工程]