Application of Empirical Bayes Estimation in Error Model Identification of Two Orthometric Accelerometers

Yansong Jiang, Bao-ku Su, Yu Liu
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引用次数: 1

Abstract

The high accuracy accelerometer can be demarcated in multiposition tumbling experiment under 1g gravitational field. The g2 observation model of Two Orthometric Accelerometers can eliminate the corner error. there is a serious multicollinearity exit in this system because some model coefficient mix together. In view of above question, this article has given the arithmetic of Empirical Bayes Estimation(EB), and applied this method in model which is mentioned above. The result of the simulation and the experiment shows that compared with the conventional least squares method and the generalized diagonal ridge estimation, the Empirical Bayes Estimation can overcome the influence of the multicollinearity and can separate two coefficients which are The Second-Order Terms and the cross-coupling terms.
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经验贝叶斯估计在两种正交加速度计误差模型辨识中的应用
该加速度计可在1g引力场下的多位置翻滚实验中标定精度高。双正交加速度计的g2观测模型可以消除角点误差。由于某些模型系数的混合,系统存在严重的多重共线性出口。针对上述问题,本文给出了经验贝叶斯估计的算法,并将该方法应用于上述模型中。仿真和实验结果表明,与传统的最小二乘法和广义对角脊估计相比,经验贝叶斯估计能克服多重共线性的影响,并能分离二阶项和交叉耦合项两个系数。
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