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Mathematical minimum of Geometric Dilution of Precision (GDOP) for dual-GNSS constellations

机译:双GNSS星座的几何精度几何稀释(GDOP)的数学最小值

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摘要

Selecting optimal satellites for positioning calculation is a basic problem for the positioning, navigation and timing (PNT) applications with Global Navigation Satellite System (GNSS), and the Geometric Dilution of Precision (GDOP) is a key index to handle this problem. In general, the lower the GDOP values are, the more accurate the PNT solution is. Therefore, the minimum value of GDOP should be pursued. In this paper, we focused on the five-satellite as at least five satellites are required for dual-GNSS constellations. Utilizing the characteristics of matrix partial orders, the mathematical minimum of GDOP in the five-satellite case together with the optimal distribution of the five satellites has been theoretically derived. Furthermore, from a theoretical point of view, the detailed expressions of the impact of different constellational combinations of these satellites on the GDOP have been obtained. The results demonstrated that, for dual-GNSS, even if the geometric distribution of the five satellites is fixed, different constellational combinations of these satellites lead to different values of GDOP. This is different from the single-GNSS case.
机译:对于全球导航卫星系统(GNSS)的定位,导航和授时(PNT)应用,选择最佳卫星进行定位计算是一个基本问题,而精度几何稀释(GDOP)是解决此问题的关键指标。通常,GDOP值越低,PNT解决方案越准确。因此,应追求GDOP的最小值。在本文中,我们将重点放在五颗卫星上,因为双GNSS星座至少需要五颗卫星。利用矩阵偏序的特征,从理论上推导了五颗卫星情况下GDOP的数学最小值以及五颗卫星的最优分布。此外,从理论的角度,已经获得了这些卫星的不同星座组合对GDOP的影响的详细表达。结果表明,对于双GNSS,即使五颗卫星的几何分布固定,这些卫星的不同星座组合也会导致GDOP值不同。这与单一GNSS情况不同。

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