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卡尔曼滤波在动态水准监测数据处理中的应用

pplication of Kalman Filtering on Dynamic Leveling Monitoring Data Processing

中文摘要英文摘要

卡尔曼滤波作为一种动态数据处理方法已在许多监测领域得到应用,它能够实时、快速地处理大量变形数据,并能有效地改善动态变形监测数据的精度。本文介绍了离散线性系统的数学模型,给出了离散卡尔曼滤波方程,并说明了其算法思想。最后,以动态水准网监测系统为例,讨论了如何建立滤波模型,使用Matlab进行了模拟计算,证明了该方法的有效性,总结了卡尔曼滤波的特点。

s a dynamic data-processing method, Kalman filtering has been applied in many monitoring areas, it can compute a large number of deformation data quickly in real-time and can improve the accuracy of dynamic deformation monitoring data effectively. This paper presents a mathematical model of discrete linear systems, and then discrete Kalman filtering equations are reviewed. Furthermore, we described the main ideology of the algorithm. Finally, using a dynamic leveling network monitoring systems as an example, we discussed how to set up a filtering model. The results of the simulated data demonstrated that Kalman filtering method is effective, and then we summed up the characteristics of the Kalman filtering.

刘涛

自动化技术、自动化技术设备工程基础科学计算技术、计算机技术

测量数据处理卡尔曼滤波动态水准网滤波模型

Surveying data processingKalman filteringdynamic leveling networkfiltering model

刘涛.卡尔曼滤波在动态水准监测数据处理中的应用[EB/OL].(2010-07-20)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201007-391.点此复制

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