小波阈值去噪法在MEMS陀螺仪信号降噪中的应用

Application of Walelet Threshold Denosing on MEMS Gyro

通过分析小波分析法中的阈值去噪算法的原理,根据MEMS陀螺仪信号漂移的数学模型,采用了基于小波阈值去噪法对MEMS陀螺仪的输出进行实时消噪处理.并将该算法应用到基于DSP的某MEMS陀螺捷联惯导系统后对系统的MEMS陀螺仪进行零漂试验.通过整个系统试验结果分析,使用小波阈值去噪法对抑制MEMS陀螺仪零漂,改善MEMS陀螺仪的零偏稳定性具有很好的效果,肯定了小波阈值去噪方法在MEMS陀螺仪噪声处理中的理想效果.

According to the principle of wavelet threshold denosing and the mathematical model of MEMS gyro, this paper adopts the wavelet threshold denoising algorithm to denoise MEMS gyro signal. And the zero-drift experiment of MEMS gyro was implemented after the algorithm was applied to a DSP-based strap-down inertial navigation system of MEMS gyro. The experimental results indicate that MEMS gyro＇s zero-drift is restrained and the zero-drift stability is improved. It also affirms the optimal effect of wavelet threshold denosing approach used to denoise MEMS gyro signals.