| Citation: | CAI Y，SI Y H，WANG Y Z，et al. Design and application of EMD-ARIMA drift model for flexible gyro[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（11）：3434-3444 （in Chinese） doi: 10.13700/j.bh.1001-5965.2022.0871
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In order to reduce the drift rate of the flexible gyro and improve the precision of the flexible gyro, EMD-ARIMA drift model was proposed based on empirical mode decomposition (EMD) and autoregressive integrated moving average (ARIMA) signal processing tools. The outfield removal operator is designed to avoid the overshoot and undershoot problems in the EMD process. The identification of the intrinsic mode function (IMF) is discussed, and the principles for the use of IMF at various levels are formulated. By depending on technical staff to interpret autocorrelation and partial autocorrelation graphs and to implement the batch processing function of EMD-ARIMA modeling for multiple signals (or multi-order IMFs), the adaptive order optimization operator is intended to avoid ARIMA modelling. Comparing the reconstructed fitting signal with the original signal, the engineering practice shows that the drift rate of the final reconstructed fitting signal is 12.8% lower than that of the original signal. All the error sources of Allan variance are reduced. Meanwhile, the
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