摘要
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 the core sensor in miniature photoelectric stabilized platform, the random dnlt directly attects its precision. Wavelet algorithm is suitable for non-stationary signal denoising with its multi-resolution characteristics. The micro-electromechanical gyroscope real-time filtering through the application of wavelet analysis algorithm is implemented in this paper. The simulation experiments in this study prove the validity of the algorithm mentioned. The result shows the mean square error of random drift can be decreased to 5% before processing using wavelets analysis.
出处
《光学与光电技术》
2013年第3期58-61,共4页
Optics & Optoelectronic Technology
关键词
微机械陀螺仪
随机漂移
小波分析
滤波
micro electron-mechanical gyroscope
random drift
wavelets analysis
filtering
