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Ionosphere-gradient based filtering approach for precise relative navigation in LEO

机译:基于电离层梯度的LEO精确相对滤波方法

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Formation flying missions require the knowledge of the relative positions of the satellites for formation, maintenance and scientific purposes. In Low Earth Orbit, this task is typically performed by GPS-based navigation filters. However, the final accuracy, especially over long baselines, is strongly affected by the capability of correctly estimating the ionospheric delays. In this paper the performance of a real-time relative positioning filter are improved with the introduction of an ionospheric model capable of representing horizontal ionospheric gradients, referred to as Linear Thin Shell model. This model can be used as an alternative to the most common isotropic ionospheric model. Filter performance are investigated in high and low ionospheric intensity conditions using real flight data. Results show that, in intense ionospheric conditions, positioning accuracy is improved with respect to the case of using an isotropic model.
机译:编队飞行任务需要了解卫星的相对位置,以用于编队,维护和科学目的。在近地轨道中,此任务通常由基于GPS的导航过滤器执行。但是,最终准确度(尤其是在较长的基线范围内)会受到正确估计电离层延迟的能力的强烈影响。在本文中,通过引入能够表示水平电离层梯度的电离层模型(称为线性薄壳模型),提高了实时相对定位滤波器的性能。该模型可以替代最常见的各向同性电离层模型。使用实际飞行数据在高和低电离层强度条件下研究了过滤器性能。结果表明,在强电离层条件下,相对于使用各向同性模型的情况,定位精度有所提高。

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