微机械陀螺的一种微弱信号检测算法的分析与仿真

Analysis and Simulation of a Weak Signal Detecting Arithmetic for Micromechanical Gyros

针对常用的微机械陀螺微弱信号检测方法不能很好地抑制信号带内噪声的不足,提出了一种基于整周期采样的求和平均处理算法,该算法等效地实现了低通滤波和减采样的功能。仿真表明它可以完全抑制信号中混杂的一系列特定频率的周期性噪声,对带内和带外的各种噪声成分抑制效果非常显著,并且可以大大节省系统资源的占用率。

Methods of weak signal detecting in micromechanical gyroscopes always can＇t efficiently suppress noises intraband, so a sum-average arithmetic based on completed periodicity sampling, which implements low filtering and downsampling equivalently, is put forward. Simulation indicates that it can completely restrain a series of periodic noises with specific frequency; also it can effectively restrain various noises intraband and out-off-band. In addition, it can reduce system resource occupation enormously.