Fiber Optic Sensor Temperature Drift
Explore the impact of temperature drift on Fiber Optic Gyroscopes (FOGs), effective compensation methods, and experimental results. This study proposes an improved multi-scale permutation entropy complete ensemble empirical mode decomposition with adaptive noise (MPE-CEEMDAN) method based on adaptive Kalman filter (AKF) and grey wolf optimizer-least squares support vector machine (GWO-LSSVM). An algorithm is proposed for pro-cessing the sensors' data in the form of weighted sum of temperature values and its. In this study, the effects of pre-annealing LiNbO 3 crystals at 500 °C on multifunctional integrated optical chips (MIOCs) were investigated through interferometric fiber-optic gyroscope (IFOG) system-level tests. The present invention provides a correction for fiber optic gyro drift rate error due to temperature effects based on either the temperature difference between the gyro housing and the sensor spool, or the rate of change of spool temperature.
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