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卡尔曼滤波在动态测量系统中的应用
引用本文:曾凡祥,李勤英.卡尔曼滤波在动态测量系统中的应用[J].北京测绘,2014(3):47-51.
作者姓名:曾凡祥  李勤英
作者单位:广州海洋地质调查局,广东广州,510760;武汉大学测绘学院,湖北武汉,430000
摘    要:文中详细论述卡尔曼滤波的数学模型及其初值确定方法,引入动态测量系统应用实例,通过对数据噪音特性的分析,准确确定了卡尔曼滤波模型,利用matlab编程实现了相应功能。实例分析结果表明,卡尔曼滤波预测精度高,适用于大坝的实时监测与预报。

关 键 词:动态测量系统  卡尔曼滤波  变形监测  数学模型

Application Of Kalman Filter in Dynamic Surveying System
ZENG Fan-xiang,LI Qin-ying.Application Of Kalman Filter in Dynamic Surveying System[J].Beijing Surveying and Mapping,2014(3):47-51.
Authors:ZENG Fan-xiang  LI Qin-ying
Institution:1. Guangzhou Marine Geological Survey, Guangzhou Guangdong 510760, China 2. School Of Geodetic and Geomatics, Wuhan University, Wuhan Hubei 4a0000,China)
Abstract:The paper describes the arith model of kalman filter and the method of confirming its initial values in details. Then introduces the application of kalman filter in dynamic surveying system, ascertain the arith model by anylazing the noise feature of the data, and achieves the functions in matlab. In conclusion of the application, kalman filter has high precision in forcasting and can be used in deformation monitoring and prediction of dam
Keywords:dynamic surveying system  kalman filter  deformation monitoring  arith model
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