基于核因子分析的捷联惯组稳定性评估技术

Stability Evaluation Technology of SIMU Based on Kernel Factor Analysis

当前捷联惯组的稳定性评价方法单一,严重影响了使用单位对捷联惯组的使用效率。针对捷联惯组各个误差系数两次测试之差线性相关性较弱的特点,应用统计学习理论中的核化原理将因子分析这一线性特征提取算法推广至非线性特征提取算法,并改进了传统的因子综合评价方法,将其用于捷联惯组的稳定性评估。数值实验结果证明了提出的核因子分析方法的有效性。

The stability evaluation method of the strapdown inertial measurement unit(SIMU) group is simple, which seriously affects the efficiency of the unit usage. Aiming at the weak linear correlation between the two error coefficients of the SIMU, the principle of kernel in statistical learning theory was applied to promote the linear feature extraction algorithm to nonlinear feature extraction algorithm, and to improve the traditional evaluation on the stability of the SIMU. The numerical experiments show that the proposed kernel factor analysis has a good evaluation effect.