Research on Kalman Filtering Algorithm for Deformation Information Series of Similar Single-Difference Model
Using similar single-difference methodology(SSDM) to solve the deformation values of the monitoring points, there is unstability of the deformation information series, at sometimes.In order to overcome this shortcoming, Kalman filtering algorithm for this series is established,and its correctness and validity are verified with the test data obtained on the movable platform in plane. The results show that Kalman filtering can improve the correctness, reliability and stability of the deformation information series.
作 者： U Wei-cai XU Shao-quan 作者单位： U Wei-cai(Department of Resource and Environment Engineering, Anhui University ofScience and Technology, Huainan, Anhui 232001, China)XU Shao-quan(School of Geodesy and Geomatics, Wuhan University, Wuhan, Hubei 430079, China)
刊 名： 中国矿业大学学报（英文版） ISTIC EI 英文刊名： JOURNAL OF CHINA UNIVERSITY OF MINING AND TECHNOLOGY（ENGLISH EDITION） 年，卷(期)： 2004 14(2) 分类号： P207 关键词： similar single-difference methodology GPS deformation monitoring single epoch deformation information series Kalman filtering algorithm