摘要
微机电石英音叉陀螺虽然有突出的优点,但也存在噪声比较大的缺点。普通的数字滤波方法通常会造成比较大的滞后,减小了系统的相位裕度,而且对截止频率以内的噪声不起作用。作者在对石英音叉陀螺零点漂移数据建立时间序列模型(AR模型)的基础上,采用卡尔曼滤波算法对石英音叉陀螺的漂移数据进行了处理。仿真实验表明,所采用的滤波方法合理有效。
The random noise of micromachined quartz rate-sensor can affect the system precision. Normal digital filter method such as low-pass filter can causes evident delay and decreases the phase margin. And it can＇t work on the noises under the cut-off frequency. Based on the building of the time sequence model of MEMS gyro drift data, the MEMS gyro drift data is processed using Kalman filter The simulation results show that the algorithm is effective.
出处
《中国惯性技术学报》
EI
CSCD
2006年第4期67-69,共3页
Journal of Chinese Inertial Technology
基金
"十五"国防预研项目
编号18YXGFKD118
