New data processing strategy for single frequency GPS deformation monitoring

Survey Review ◽  
2014 ◽  
Vol 47 (344) ◽  
pp. 379-385 ◽  
Author(s):  
S-Q. Huang ◽  
J-X. Wang
2011 ◽  
Vol 90-93 ◽  
pp. 2858-2863
Author(s):  
Wei Li ◽  
Xu Wang

Due to the soft and hard threshold function exist shortcomings. This will reduce the performance in wavelet de-noising. in order to solve this problem,This article proposes Modulus square approach. the new approach avoids the discontinuity of the hard threshold function and also decreases the fixed bias between the estimated wavelet coefficients and the wavelet coefficients of the soft-threshold method.Simulation results show that SNR and MSE are better than simply using soft and hard threshold,having good de-noising effect in Deformation Monitoring.


2013 ◽  
Vol 353-356 ◽  
pp. 1555-1558
Author(s):  
Ke Wu ◽  
Ke Zhang ◽  
Cheng Jun Wang ◽  
Chuang Zhao

The deformation monitoring of surrounding rock and data processing in tunnel is the foundation and safety technical support of underground engineering information control and management. However, due to the special environment in the underground engineering construction, acquiring the deformation information of surrounding rock accurately and fast to assess the stability of surrounding rock is becoming one of the bottleneck problems for underground construction project information to be solved. According to the underground engineering projects, Based on the dynamic monitoring data processing and analysis, a set of underground engineering construction monitoring measurement data processing system is established, which can meet the acquisition of the monitoring measurement data, the arrangement of the measured data, data analysis and feedback, the monitoring data regression analysis.


2015 ◽  
Vol 5 ◽  
Author(s):  
Hiroshi Tsugawa ◽  
Erika Ohta ◽  
Yoshihiro Izumi ◽  
Atsushi Ogiwara ◽  
Daichi Yukihira ◽  
...  

2007 ◽  
Author(s):  
Hiroshi Watanabe ◽  
Hironari Ishihara ◽  
Keiichiro Ninomiya ◽  
Kaduo Hiraki ◽  
Tsuneo Matsunaga ◽  
...  

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