STUDY ON METHOD FOR REDUCING NOISES IN MAGLEV GYRO
TOTAL STATION DIRECTIONAL SYSTEM BASED ON WAVELET
TRANSFORM THEORY
1)School of Geodesy Engineering and Geomatics, Chang’an University, Xi’an 710054
2)School of Civil Engineering and Hydraulic, Hefei University of Technology, Hefei 230009
Abstract The observed rotor current data of maglev gyro total station directional system can be described as a kind of nonlinear data series relating to time and environment. Practical results show that, by using wavelet decomposition and reconstruction, this method can efficiently extract directional rotor current characteristics from the observed data series which were disturbed by strong noises. Moreover, comparing with traditional processing techniques, it has excellent features for nonstationary and nonlinear rotor series data filtering in directional system. It can effectively improve the instrument orientation results, and also improve the precision of directional angle.
Zhou Zhiyi,Yang Zhiqiang,Gao Fei et al. STUDY ON METHOD FOR REDUCING NOISES IN MAGLEV GYRO
TOTAL STATION DIRECTIONAL SYSTEM BASED ON WAVELET
TRANSFORM THEORY[J]. jgg, 2013, 33(5): 154-156.
Zhou Zhiyi,Yang Zhiqiang,Gao Fei et al. STUDY ON METHOD FOR REDUCING NOISES IN MAGLEV GYRO
TOTAL STATION DIRECTIONAL SYSTEM BASED ON WAVELET
TRANSFORM THEORY[J]. jgg, 2013, 33(5): 154-156.
