【摘要】 提出了基于小波变换的陀螺仪信号的去噪方法。陀螺仪作为重要的敏感测量器件,其测量信号的精度很大程度上决定了系统的性能。利用信号与噪声进行小波变换后在各尺度空间呈现的不同特性,应用Daubechies四阶正交小波(db4)对噪声信号进行多层小波变换,逐层估计小波变换的各层细节信号的阈值,分别进行软阈值滤波处理,然后进行小波逆变换重建信号以达到对信号消噪和恢复的目的。采用该方法可以有效提高陀螺仪噪声环境下的测量精度。更多还原

【Abstract】 A method based on wavelet transform is put forward for signal denoising in gyroscope. The gyroscope, as the important sensitive measurement device, whose measure precision of signal, to a great extent, determines the performance of system. According to the different characteristics of noise and signals at every scale space after wavelet transform, the db4 wavelet is selected to decompose the noise signal for several levels, and the wavelet soft-threshold denoising method is employed to eliminate noise. The experimental results show that this method provides more accurate gyroscope data for use in noise circumstances.更多还原