硅微陀螺信号处理方法——基于前向线性预测小波变换方法

Forward linear prediction based wavelet transformation for micro silicon gyroscope signal processing

为补偿漂移误差对硅微陀螺的测量精度造成的损失,针对漂移误差易受外部环境噪声影响的特点,提出了一种基于前向线性预测(FLP)的小波变换(WT)处理方法——DWT-FLP 算法,并通过硅微陀螺试验对其进行了验证。该方法利用快速小波变换算法进行信号的小波分解和小波重构,并将 FLP 方法用于小波分解系数的重构,比较显著地提高了重构信号的精度。对于4尺度的 db4小波变换,40阶 FLP 的滤波方法可以将硅微陀螺静态漂移的标准差提高4.8倍,动态测量过程信噪比可以提高6.5dB,并且该算法的实时性也可以满足实际工程的需要。

Considering the phenomenon that the drift error of a micro silicon gyroscope is sensitive to its environmental noise, the paper proposes the DWT-FLP method, a forward linear prediction （FLP）-based wavelet transformation （WT） algorithm for compensation the gyroscope＇ s drift error and improvement of its precision. The method uses a fast operation algorithm in the decomposition and reconstruction of the WT, and uses the FLP algorithm in the reconstruction of the wavelet decomposition coefficients so that the signal accuracy can be improved greatly. The experimental resuh showed that for the 4 levels WT, FLP of 40 orders made the standard variance of static drift signal decrease 5.8 times, the rate of the signal-to-noise （SNR） of dynamics signal increased 6.5 dB, and the real-time implementation of the hardware could also meet the engineering requirements.