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陀螺随机漂移是影响MEMS陀螺仪精度的重要指标,有效减小MEMS陀螺仪的随机漂移误差是提高MEMS陀螺仪使用精度的关键技术之一.文中在分析传统小波阈值滤波的去噪原理和存在的缺陷基础上,引入自适应小波阈值滤波算法,并将其应用于MEMS陀螺仪输出信号的滤波处理中,同时与传统小波阈值滤波算法进行了对比.试验结果表明,自适应小波阈值滤波算法可以有效减少信号中的高频噪声,很好地抑制MEMS陀螺仪的随机漂移,去噪效果明显优于传统的小波阈值法.“,”Gyro random drift is an important index that can affect the precision of MEMS gyro. Decreasing the random drift error is one of the key techniques in improving the precision of MEMS gyro. In this paper, based on the analysis of the theory and the disadvantages of the wavelet thresholding de-noising method, the adaptive wavelet thresholding de-noising method is introduced to denoise the output signal of the MEMS gyro, and the de-noising result is contrasted with thetraditional wavelet thresholding de-noising method. The experimental results show that the proposed method is better than traditional wavelet thresholding de-noising methods. It can effectively reduce the noise in high frequency and restrain the drift error of MEMS gyro.