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抗差自适应Kalman滤波在动态变形监测中的应用研究
引用本文: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.
作者姓名:伍锡锈  戴吾蛟  罗飞雪
作者单位:中南大学测绘与国土信息工程系,长沙,410083
基金项目:国家自然科学基金,湖南省自然科学基金
摘    要:抗差自适应Kalman滤波算法中,抗差等价权矩阵和自适应因子的计算,要求观测信息具有多余观测量且准确可靠,但在动态变形监测应用中,通常滤波观测值仅为三维坐标且存在较强噪声和粗差的影响.为此,先对该算法中的自适应因子和抗差等价权矩阵的计算进行研究和改进,然后计算了某高速公路边坡的GPS动态监测数据.结果表明,抗差自适应K...

关 键 词:动态变形监测  抗差自适应Kalman滤波  抗差估计

Research on Adaptively Robust Kalman Filtering for Dynamic Deformation Monitoring Applications
WU Xi-xiu,DAI Wu-jiao,LUO Fei-xue.Research on Adaptively Robust Kalman Filtering for Dynamic Deformation Monitoring Applications[J].Journal of Disaster Prevent and Mitigation Eng,2011,31(1):102-106.
Authors:WU Xi-xiu  DAI Wu-jiao  LUO Fei-xue
Institution:WU Xi-xiu,DAI Wu-jiao,LUO Fei-xue (Department of Survey Engineering and Geomatics,Central South University,Changsha 410083,China)
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, ...
Keywords:dynamic deformation monitoring  adaptively robust Kalman filtering  robust estimation  
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