摘要
针对自标定加速度计组合动基座试验数据中存在的数据异常问题,推导并运用自适应Kalman滤波算法剔除异常数据,通过对不同Kalman滤波算法自标定精度解算结果的均值和标准差进行比较,表明自适应Kalman滤波算法更加有效。
Aiming at the problems of abnormal data in the test data of autonomous calibration accelerometer-unit on dynamicbase,deducing and using adaptive Kalman filtering algorithm eliminates abnormal data, according the comparison of results from calibration precision by different Kalman filtering algorithm, it shows that the adaptive Kalman filtering algorithm is more effective.
出处
《电子设计工程》
2011年第6期53-56,共4页
Electronic Design Engineering
关键词
自适应Kalman滤波算法
动基座
加速度计自标定
adaptive Kalman filtering algorithm
dynamic base
autonomous calibration accelerometer
