陀螺随机漂移时间序列建模方法研究

Research on Time Series Modeling Method for Gyroscope Random Bias

提出了残差自校正的RELS算法,在ARMA模型参数估计的过程中引入虚拟白噪声,来补偿参数估计过程中的由于噪声未知而引入的误差,并将DDS法与AIC准则相结合确定模型阶数。仿真结果表明所确定的模型能够精确地反映陀螺漂移趋势。

A residual self-tuning RELS algorithm is proposed to estimate ARMA parameters. Pseudo white noise was introduced to compensate for the error contributed by the unknown noise. DDS and AIC criterion are used for order selection.The result shows that the model established can reflect gyro drift tendency with reasonable accuracy.