基于水平对准信息的船用捷联惯导快速对准算法

Wei Gao, Yanting Che, Fei Yu, Yalong Liu
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引用次数: 4

摘要

本文提出了一种改进的惯性系对准算法,显著提高了传统惯性系粗对准算法的精度和时间成本。首先,在水平精细对准阶段采用降维高斯-赫米特滤波算法;其次,根据重力在水平参考系中投影的水平分量为零的特点,通过水平精细对准,可以方便地计算出重力在人体惯性坐标系中的投影。再次,利用加权平滑算法对水平精细对准阶段后得到的重力进行调整,完成初始对准算法;仿真结果表明,该方法可大大缩短对准时间。快速初始对准算法可在6分钟内达到中等精度。满足中精度船用捷联惯导系统的精度要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fast inertial frame alignment algorithm based on horizontal alignment information for marine SINS
In this paper, a improved inertial frame alignment algorithm is proposed, which significantly improves the accuracy and time cost of the traditional inertial frame coarse alignment algorithm. Firstly, a dimensionality reduction Gauss-Hermite filter algorithm is employed in the horizontal fine alignment phase. Secondly, according to the feature of the gravity, that the horizontal components of the gravity projected in horizontal reference frame is zero, the projection of the gravity in body inertial coordinate frame could be calculated easily after the horizontal fine alignment. Thirdly, a weighted smoothing algorithm is used to adjust the gravity which obtained after the horizontal fine alignment phase, and then the initial alignment algorithm is accomplished. The simulation results show that the alignment time can be greatly reduced. And the fast initial alignment algorithm can achieve the medium accuracy within 6 minutes. That meets the accuracy requirement of the medium accuracy marine SINS.
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