微机械陀螺作为小型化光电稳定平台中的核心传感器,由于存在随机漂移,直接影响了其使用精度。小波算法以其多分辨特性,适合于非平稳信号的去噪,应用小波分析算法,实现了微机械陀螺的实时滤波。通过仿真及实验验证了算法的效果。结果表明,应用小波分析算法可以将漂移均方差降低为处理前的5%以内。 As a core sensor in the miniaturized photoelectric stabilized platform, the micromechanical gyroscope has a direct impact on the accuracy of its use due to the random drift. With its multi-resolution characteristics, wavelet algorithm is suitable for denoising of non-stationary signals. The wavelet analysis algorithm is applied to realize the real-time filtering of micromachined gyroscope. The simulation results and experiments show the effectiveness of the algorithm. The results show that the wavelet analysis algorithm can reduce the mean square deviation of drift to less than 5% before processing.