防灾减灾工程学报2011，Vol.31Issue(1)：102-106,5.
抗差自适应Kalman滤波在动态变形监测中的应用研究
Research on Adaptively Robust Kalman Filtering for Dynamic Deformation Monitoring Applications
摘要
Abstract
In the algorithm of adaptively robust Kalman filtering, the calculations of equivalent weight matrixes and adaptive factors are based on abundant, accurate and reliable observation information. But in the application of dynamic deformation monitoring, the monitoring point's measurement values are simply three-dimensional coordinates, and the impact of noise and outliers is also serious in the observation. In this paper, the algorithms of equivalent weight matrixes and adaptive factors are researched and improved,and the adaptively robust filtering has been used in the GPS dynamic deformation monitoring data processing of a slope. Filtering results show that: adaptively robust Kalman filtering can significantly weaken the influence of measurement outliers in dynamic deformation monitoring.关键词
动态变形监测/抗差自适应Kalman滤波/抗差估计Key words
dynamic deformation monitoring/ adaptively robust Kalman filtering/ robust estimation分类
建筑与水利引用本文复制引用
伍锡锈,戴吾蛟,罗飞雪..抗差自适应Kalman滤波在动态变形监测中的应用研究[J].防灾减灾工程学报,2011,31(1):102-106,5.基金项目
国家自然科学基金项目(40704002)、湖南省自然科学基金项目(08JJ6025)资助 （40704002）
