ADAPTIVELY ROBUSTLY CONSTRAINED FILTERING ALGORITHM\=[JZ] FOR SLOPE MONITORING
Zuo Tingying;Wu Yunyun ;and Song Yingchun
School of Info. Physics and Geomatics Engineering, Central South University, Changsha 410083
Abstract For the rational use of geometric and physical information of slope, and in order to control the influence of outliers on deformation parameter estimation, a constrained filtering model using mechanical state information of slope is given. At the same time, the algorithm utilizes the useful information in constrained equation to accurately determine the equivalent weights of measurements, thus the relevant adaptive robust constrained filtering algorithm is given.By a pratical example,it is proved that this algorithm can improve the reliability of state parameter estimation.
Key words ：
constrained information
deformation monitoring
robust filtering
constrained filtering
adaptive filtering
Received: 01 January 1900
Corresponding Authors:
Zuo Tingying
Cite this article:
Zuo Tingying,Wu Yunyun,and Song Yingchun. ADAPTIVELY ROBUSTLY CONSTRAINED FILTERING ALGORITHM\=[JZ] FOR SLOPE MONITORING[J]. , 2011, 31(6): 94-99.
Zuo Tingying,Wu Yunyun,and Song Yingchun. ADAPTIVELY ROBUSTLY CONSTRAINED FILTERING ALGORITHM\=[JZ] FOR SLOPE MONITORING[J]. jgg, 2011, 31(6): 94-99.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2011/V31/I6/94
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