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NeQuick Galileo version model: Assessment of a proposed version in operational scenario

机译:NeQuick Galileo版本模型:在操作方案中评估建议的版本

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The ionosphere is one of the main error sources for single-frequency Global Navigation Satellite System (GNSS) measurements in open-sky scenario. Most widespread GNSS devices are single frequency stand-alone receivers and they can use different Ionospheric Correction Algorithms (ICA) in order to reduce the ionospheric error. In this work two ICA models are considered, specifically Klobuchar and NeQuick-G models. These algorithms are driven by parameters broadcast within GPS and Galileo navigation messages respectively. Hence no additional infrastructure is needed to reduce the ionospheric effects. The main goal of the paper is to analyze the performance of a modified approach for NeQuick-G (defined NeQuick VP) by comparing its performance, in position domain, with respect to the standard NeQuick-G algorithm and to Klobuchar one. NeQuick VP is a methodology proposed to reduce the complexity characterizing NeQuick-G model. The performance is evaluated using real data collected by an open-sky station; the results obtained are analyzed using Root Mean Square (RMS), mean and maximum errors as Key Performance Indicators (KPIs) for both horizontal and vertical components.
机译:电离层是在露天情况下单频全球导航卫星系统(GNSS)测量的主要误差源之一。最为广泛的GNSS设备是单频独立接收器,它们可以使用不同的电离层校正算法(ICA)来减少电离层误差。在这项工作中,考虑了两个ICA模型,特别是Klobuchar和NeQuick-G模型。这些算法分别由GPS和Galileo导航消息中广播的参数驱动。因此,不需要额外的基础设施来减少电离层效应。本文的主要目的是通过与标准NeQuick-G算法和Klobuchar算法相比,在位置域中比较其性能,从而分析一种针对NeQuick-G(定义为NeQuick VP)的改进方法的性能。 NeQuick VP是一种用于降低表征NeQuick-G模型的复杂性的方法。使用露天车站收集的真实数据评估性能;使用均方根(RMS),均值和最大误差作为水平和垂直分量的关键绩效指标(KPI)来分析获得的结果。

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