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Proceedings Paper

Application of innovation Kalman filter in tunnel deformation monitoring
Author(s): Yakun Han; Hongyan Wen; Qingtao Wang; Lei Guo; Lingshuai Kong
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Paper Abstract

Due to the kalman filter can achieve good results while dealing with dynamic data, and the deformation data has dynamic characteristic, so in this paper, we use kalman filter to process data. In reality, the dynamic noise and observation noise are unknown previously, we often set initial values of noise based on the former experiences, and thus the precision of standard kalman filter will be effected by the inexact values of these two noise. However the innovation kalman filter could modify the dynamic noise and observation noise continuously, in this paper, this algorithm has obtained good results in tunnel deformation monitoring, and it has certain feasibility.

Paper Details

Date Published: 9 December 2015
PDF: 6 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 980832 (9 December 2015); doi: 10.1117/12.2205985
Show Author Affiliations
Yakun Han, Guilin Univ. of Technology (China)
Hongyan Wen, Guilin Univ. of Technology (China)
Qingtao Wang, Guilin Univ. of Technology (China)
Lei Guo, Guilin Univ. of Technology (China)
Lingshuai Kong, Guilin Univ. of Technology (China)

Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

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