Research on signal processing of fiber optic gyroscope based on least square smooth filtering and CEEMDAN [基于最小二乘平滑滤波与CEEMDAN的光纤陀螺信号处理研究]

作者：Xu L.; Cai D.

来源：Journal of Vibration and Shock, 2020, 39(10): 269-278.

DOI：10.13465/j.cnki.jvs.2020.10.037

• Complete ensemble empirical mode decomposition with adaptive noise
• Deflection monitoring of concrete face
• Fourier spectrum analysis
• Least square smooth filtering
• Variance

In view of the fact that fiber optic gyroscope is easy to be disturbed by noise in the monitoring of concrete face deflection of concrete face rockfill dam,and it is difficult to accurately extract the characteristic signal of structural deformation, a noise reduction method based on least square smooth filtering and CEEMDAN was proposed.In this method, the measured signal of fiber optic gyroscope was decomposed by CEEMDAN, and a series of IMF components were obtained.The fourier spectrum analysis of each order IMF component was carried out to get the amplitude spectrum and the variance of the amplitude. According to the magnitude of the amplitude variance, the boundary between the noise IMF component and the useful signal IMF component was judged, and the noise IMF component was reduced by combining the least square smooth filtering.Finally, the denoised IMF component and the useful signal IMF component were reconstructed to get the denoised fiber optic gyroscope signal.Through the analysis of the simulation signal and the measured data of the concrete face deflection monitoring of Shuibuya concrete face rockfill dam, this method can effectively filter the noise signal and accurately extract the characteristic signal reflecting the structural deformation,the feasibility and applicability of this method for noise reduction of fiber optic gyroscope measurement signal in practical engineering were verified.

• 单位
  三峡大学