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光纤陀螺经过确定性误差补偿后,各种随机噪声成为其误差的主要来源。为了减小光纤陀螺的随机误差,研究基于小波包分析的滤波方法,分析了小波包滤波的原理以及滤波过程中阈值及阈值函数的选取问题,并进行了相应的改进。然后分别采用Allan方差法和功率谱密度(PSD)方法分析滤波前后光纤陀螺的随机误差特性,对滤波的效果进行理论上的分析。最后,选取光纤陀螺VG951的漂移数据进行仿真验证,结果表明,基于改进的小波包滤波方法能够有效地减小光纤陀螺的随机误差,从而提高测试的精度。
FOG after a certain error compensation, a variety of random noise as the main source of error. In order to reduce the random error of fiber optic gyroscope, the filtering method based on wavelet packet analysis is studied. The principle of wavelet packet filtering and the selection of threshold and threshold functions in filtering are analyzed and corresponding improvements are made. Then, the random error characteristics of FOG before and after filtering were analyzed by Allan variance method and power spectral density (PSD) respectively, and the effect of filtering was analyzed theoretically. Finally, we choose the drift data of the FOG gyro VG951 to verify the simulation results. The results show that the improved wavelet packet filtering method can effectively reduce the random error of the FOG and improve the test accuracy.