摘要
对MEMS陀螺随机误差进行了实验测试及研究,选取状态方程模型,基于近年来发展起来的随机系统子空间辨识方法,对MEMS陀螺随机误差进行建模,结果与Allan方差方法分析的噪声特性相符合,经与ARMA等模型比较,在同等性能下,所建模型具有阶次低的优点,更加适合于实时在线优化估计器。所提方法可以不加修改直接应用于对多轴陀螺的处理。
The random error of a MEMS gyro is tested and studied.A state space model is picked out for modeling of the gyro drift.The subspace stochastic system identification method is employed to generate the model.The result is consistent with the random error characteristic obtained from Allan variance method.Compared with the ARMA model, the model is lower at similar performance.And it is more suitable for optimal online estimator.The presented method can be directly extended for multi-axes gyros.
出处
《传感器技术》
CSCD
北大核心
2005年第3期75-77,共3页
Journal of Transducer Technology
基金
军队武器装备科研项目(H1022003166)
