A Gyro Signal Characteristics Analysis Method Based on Empirical Mode Decomposition

It is difficult to analyze the nonstationary gyro signal in detail for the allan variance (av) analysis method. a novel approach in the time-frequency domain for gyro signal characteristics analysis is proposed based on the empirical mode decomposition and allan variance (emdav). the output signal of gyro is decomposed by empirical mode decomposition (emd) first,and then the decomposed signal is analyzed by av algorithm. consequently,the gyro noise characteristics are demonstrated in the time-frequency domain with a three-dimensional (3d) manner. practical data of fiber optic gyro (fog) and mems gyro are processed by the av method and the emdav algorithm separately. the results indicate that the details of gyro signal characteristics in different frequency bands can be described with the help of emdav,and the analysis dimensions are extended compared with the common av. the proposed emdav,as a complementary tool of the av,which provides a theoretical reference for the gyro signal preprocessing,is a general approach for the analysis and evaluation of gyro performance. © 2016 qinghua zeng et al.