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激光陀螺的随机漂移噪声类似于白噪声,它是影响激光陀螺精度的重要因素,采用数字滤波的方法可以减小随机漂移对激光陀螺精度的影响.采用常见的AR(2)模型“、卡尔曼滤波”、小波分析“和小波包分析”这四种数字滤波方法对激光陀螺的随机漂移进行分析研究,并利用功率谱和Allan方差的分析方法对这几种滤波效果进行了比较.仿真结果表明,对于激光陀螺的随机漂移的滤除,基于AR模型的卡尔曼滤波法的效果最好,基本上消除了陀螺的随机误差,而小波分析法和小波包分析法只能在一定程度上消除高频段的漂移.所得结果对激光陀螺的应用有较好的参考价值.
The random drift noise of laser gyro is similar to that of white noise, which is an important factor affecting the accuracy of laser gyro.Digital filtering method can reduce the influence of random drift on the accuracy of laser gyro.Using the common AR (2) model Man filter “,” Wavelet analysis “and” Wavelet packet analysis "four kinds of digital filtering methods to analyze the random drift of the laser gyro, and use the power spectrum and Allan variance analysis methods to compare these filter effects The simulation results show that the Kalman filter based on AR model is the best one for the random drift of the laser gyro and basically eliminates the random error of the gyro while the wavelet analysis and the wavelet packet analysis The degree of elimination of high-frequency drift.The results of the laser gyro application has a good reference value.