LU Zhen-yu, WEN Hua, LONG Yu-qi. Design of filtering algorithm for MEMS gyroscope[J]. 2013, 32(10): 83-84+88. DOI: 10.13873/j.1000-97872013.10.022.
MEMS陀螺仪滤波算法设计
摘要
针对ADXRS453陀螺仪的静态信号进行分析
采用一阶IIR低通滤波器、一阶AR模型Kalman滤波器对陀螺仪静态信号进行降噪
获取陀螺仪的静态偏移信号。以滤波后信号的最小方差为原则
选取最佳低通滤波系数与Kalman滤波器的模型噪声方差参数
比较了2种滤波器的滤波效果。将2种滤波方法相结合
取得了更好的滤波效果
且这种滤波方法具有算法简单、计算量小的优点
适合于嵌入式应用。
Abstract
Analyze the static signal of ADXRS gyroscope
use first-order IIR low-pass filter and first-order AR model Kalman filter for denoising of static signal to get static offset signal of gyroscope.Use the principle of the minimum variance of filtered signal to select the optimal low pass filtering coefficient and model noise variance parameters of Kalman filter
compare filtering effect of the two filters.Combine the two filtering methods to get better effect
and this filtering method has advantages of simple algorithm