GNSS Only Reduced Navigation System Performance Evaluation for High-Speed Smart Projectile Attitudes Estimation

Ahmed Radi, S. Zahran, N. El-Sheimy
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引用次数: 2

Abstract

One of the critical tasks for high-speed projectile is accurate attitude determination. The challenge in this task comes from the restrictions imposed, like, computational resources, available power, limited space, and limited budget. Usually INS / GNSS integration is utilized for that purpose, but for an INS to be applicable for that task it is required to be high-end INS, which will require more space, and will be over budget, in addition to export restrictions which makes high-end IMU not a valid solution. So, this paper assesses the ability to determine two of the three required attitudes (pitch and heading) in the navigation states using only GNSS system, without incorporating any other external sensor. A data for two high-speed projectile scenarios were generated using IMUS (GNSS and Inertial Simulator) Software, each scenario was repeated multiple times with different GNSS accuracy. Then the attitude mathematical algorithm was implemented on MATLAB for evaluation and assessments of the experiments. Results revealed the ability of the proposed approach to estimate the pitch and heading angle using GNSS system only with acceptable accuracy for different scenarios including various GNSS data rates and position uncertainties as well.
面向高速智能弹丸姿态估计的GNSS简化导航系统性能评估
高速弹丸的关键任务之一是精确的姿态确定。这项任务的挑战来自于所施加的限制,如计算资源、可用功率、有限的空间和有限的预算。通常为此目的利用惯导系统/全球导航卫星系统集成,但要使惯导系统适用于这项任务,就必须是高端惯导系统,这将需要更多的空间,并且将超出预算,此外还有出口限制,这使得高端IMU不是一个有效的解决方案。因此,本文仅使用GNSS系统评估在导航状态下确定三个所需姿态(俯仰和航向)中的两个的能力,而不结合任何其他外部传感器。利用IMUS (GNSS and Inertial Simulator)软件生成两种高速弹丸场景的数据,每种场景以不同的GNSS精度重复多次。然后在MATLAB上实现姿态数学算法,对实验进行评价和评估。结果表明,该方法在不同场景下,包括不同的GNSS数据速率和位置不确定性,仅能以可接受的精度估计GNSS系统的俯仰角和航向角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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