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Application of Adaptive Kalman Filter Technique in Initial Alignment of Single-axial Rotation Strap-down Inertial Navigation System

机译:自适应卡尔曼滤波技术在单轴旋转表置惯性导航系统初始对准中的应用

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摘要

In order to improve the accuracy of initial alignment which determines the accuracy of navigation, a Sage-Husa adaptive kalman filter algorithm is applied to SINS initial alignment of single-axis rotation system. The simulation result further shows that in the case of inaccurate statistical property of noise, the estimation accuracy of Sage-Husa adaptive kalman filter is better than the conventional kalman filter.
机译:为了提高确定导航精度的初始对准的准确性,应用了Sage-Husa自适应卡尔曼滤波器算法以源于单轴旋转系统的初始对准。仿真结果进一步表明,在噪声统计特性不准确的情况下,Sage-Husa自适应卡尔曼滤波器的估计精度优于传统的卡尔曼滤波器。

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