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Polarized Skylight Pattern-Based Approach to Attitude Determination

机译:基于极化天窗模式的姿态确定方法

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Polarized skylight pattern is one of the earth’s natural traits, which can provide compass cues for some insects’ navigation. Decades of behavioral and anatomic studies of the mechanisms that insects employed have found that some insects can home unfailingly through detecting the polarized skylight with their sophisticated compound eyes. Largely counting on the natural skylight, their navigation is immune to the interference of external environment and shows advantages in stability and accuracy over the conventional navigating devices, which sheds new light on the detection of skylight polarization pattern for attitude determination since it is the first concern for aerial vehicles to achieve accurate navigation. In this paper, we take the biological research as the guidance to simulate and detect the real-time polarized skylight pattern. In addition, with the polarization data, we are trying to explore a new algorithm to solve the three attitude angles, and test the validity of the algorithm with actual simulation experiment, just aiming at the purpose of finding an unambiguous way of attitude determination.
机译:极化的天光图案是地球的自然特征之一,可以为某些昆虫的航行提供指南针提示。数十年来对昆虫使用的机理进行的行为和解剖学研究发现,某些昆虫可以通过用其复杂的复眼检测偏光的天窗来确保其安全归宿。它们的导航主要依靠自然天窗,因此不受外界环境的干扰,并且与传统导航设备相比,在稳定性和准确性方面均具有优势,这是对天窗偏振方向图检测的新探索,从而可以确定姿态,因为这是首先要考虑的问题。使飞机能够实现准确的导航。在本文中,我们以生物学研究为指导,以模拟和检测实时偏振天窗图案。另外,利用极化数据,我们试图探索一种解决三个姿态角的新算法,并通过实际仿真实验来检验该算法的有效性,其目的只是为了找到一种明确的姿态确定方法。

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