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Multistage Attitude Determination Alignment for Velocity-Aided In-Motion Strapdown Inertial Navigation System with Different Velocity Models

机译:不同速度模型的速度辅助运动拟计惯性导航系统的多级姿态确定对准

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摘要

A novel multistage attitude determination alignment algorithm with different velocity models is proposed to implement the alignment process of in-motion attitude determination alignment (IMADA) aided by the ground velocity expressed in body frame ( V b ) in this paper. Normally, The V b -based IMADA is used to achieve the coarse alignment for strapdown inertial navigation system (SINS). The higher the coarse alignment accuracy, the better initial condition can be achieved to guarantee the performance of the subsequent fine alignment. Consider the influence of the principal model errors and the calculation errors on the alignment accuracy in traditional V b -based IMADA, this paper deals with a novel alignment algorithm by integrating two different velocity-based IMADAs and the multiple repeated alignment processes. The power of this novel alignment algorithm lies in eliminating the principal model errors and decreasing the calculation errors. Then, the higher alignment accuracy is achieved. Simulations and vehicle experiment are performed to demonstrate the validity of the proposed algorithm.
机译:提出了一种具有不同速度模型的新型多级姿态确定对准算法,以实现本文体框架(v b)中的接地速度的运动姿态确定对准(IMADA)的对准过程。通常,基于V B基础的IMADA用于实现围绕惯性导航系统(SINS)的粗略对准。粗对准精度越高,可以实现更好的初始条件以保证随后的精细对准的性能。考虑主模型误差和计算误差对传统v B的对准精度的影响,本文通过集成了基于速度的两个不同的基于速度和多个重复的对齐过程来涉及一种新颖的对准算法。这种新型对准算法的力量在于消除了主模型错误并降低了计算错误。然后,实现较高的对准精度。进行仿真和车辆实验以证明所提出的算法的有效性。

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