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《Surveying and Mapping of Geology and Mineral Resources》 2011-01
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Application of Self-adaptive Kalman Filter in the Deformation Monitoring of the Dam

ZHANG Fu-rong,WANG Tao(Department of Surveying and Mapping Engineering,Shanxi College of Railway Engineering of Vocation Technology,Weinan Shanxi 714000,China)  
This paper combined with the deformation monitoring data of the Dam Project,uses three kind methods of the classical least squares,standard Kalman filtering,and self-adaptive Kalman filter variance compensation to carry on data processing,and with the Matlab software compiles data processing program,verifies the results of compensates self-adaptive Kalman filter data processing.Through the comparative analysis,to get the conclusion of self-adaptive Kalman filter variance compensation data processing can meet better the needs of the project.
【CateGory Index】: TV698.1
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【Citations】
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