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为了抑制激光陀螺的随机漂移,提高其使用精度,提出了一种改进的第二代小波变换降噪方法对陀螺随机漂移测试数据进行滤波处理。该方法在二代小波变换时采用多组预测器和更新器,根据变换样本与相邻样本之间的相关性检测信号的局部特征,确定每个尺度上的每个变换样本的最佳预测器和更新器,使小波能够较好地适应信号的局部特征。该方法克服了传统小波变换降噪方法的缺陷,不仅可以有效地去除原始信号中的噪声,而且能够保留原始信号的局部特征。运用该方法对激光陀螺测试数据进行了滤波降噪实验,并用Allan方差法对不同降噪算法的降噪效果进行了比较分析,实验结果验证了该方法的有效性和优越性。
In order to restrain the random drift of the laser gyro and improve its using precision, an improved second generation wavelet transform denoising method is proposed to filter the gyro random drift test data. This method employs multiple sets of predictor and updater in the second generation wavelet transform to detect the local features of the signal according to the correlation between the transformed samples and the adjacent samples to determine the best predictor for each transformed sample on each scale And updater, so that the wavelet can better adapt to the local characteristics of the signal. This method overcomes the shortcomings of the traditional wavelet transform noise reduction method, not only can effectively remove the noise in the original signal, but also can preserve the local features of the original signal. The noise reduction experiment of the laser gyro test data is carried out by this method. The Allan variance method is used to compare the noise reduction effects of different noise reduction algorithms. The experimental results verify the effectiveness and superiority of this method.