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为补偿姿态测量系统中光纤陀螺(Fiber Optic Gyroscope,FOG)的误差,根据光纤陀螺的静、动态误差在时频域上的分布,介绍了小波滤波的一般理论和方法,分析并比较了阈值和阈值函数的选取;采用数据滑动窗的方法实现了递推运算和实时的数据更新,对窗内数据进行周期对称延拓解决滤波信号的边界问题。仿真实验验证了实时小波阈值滤波在光纤陀螺信号处理中的可行性,得出了不同小波基函数的选取对滤波效果的影响,并验证了采用软硬阈值结合方法实时滤波的优越性,该实时滤波方法不仅提高了陀螺输出的稳定性和使用精度,且对光纤陀螺信号处理具有参考价值。
In order to compensate the error of Fiber Optic Gyroscope (FOG) in attitude measurement system, the general theory and method of wavelet filter are introduced according to the distribution of static and dynamic errors of FOG in time-frequency domain. The threshold and Thresholding function is selected. The data sliding window method is used to realize the recursive computation and real-time data updating. The window data is cyclically symmetrically extended to solve the boundary problem of the filtered signal. The simulation experiment verifies the feasibility of real-time wavelet threshold filtering in fiber optic gyro signal processing, and obtains the influence of different wavelet basis functions on the filtering effect, and verifies the advantage of real-time filtering using the combination of hard and soft thresholds. The filtering method not only improves the stability and accuracy of gyro output, but also has reference value for signal processing of fiber gyro.