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GPS变形监测动态数据处理中卡尔曼滤波的应用
引用本文:高雅萍,冯晓亮.GPS变形监测动态数据处理中卡尔曼滤波的应用[J].海洋测绘,2006,26(4):36-38.
作者姓名:高雅萍  冯晓亮
作者单位: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
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。

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
文章编号:1671-3044(2006)04-0036-03
收稿时间:2005-12-13
修稿时间:2006-02-23

Application of Kalman Filtering in the Processing of GPS Kinematics Data of Deformation
GAO Ya-ping,FENG Xiao-liang.Application of Kalman Filtering in the Processing of GPS Kinematics Data of Deformation[J].Hydrographic Surveying and Charting,2006,26(4):36-38.
Authors:GAO Ya-ping  FENG Xiao-liang
Institution:1. Geomatics Science College, Chengdu University of Science and Technology, Chengdu, Sichnan,610059; 2. Mine Prospecting Technics Institute, China Academy of Geology Science, Chengdu, Sichuan,610081
Abstract:The paper firstly 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 filtering 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.
Keywords:global positioning system(GPS)  Kalman filtering  state parameter  random noise  method of the least-squares
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