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A review of methods for coping with ionospheric variability in connection with HF systems

机译:HF系统中解决电离层变化的方法综述

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Ionospheric variability is one of the more fundamental problems encountered in the analysis of HF system performance, whether it be in the realm of hindcasting, nowcasting, or forecasting. In most instances the problem must be handled statistically. In some instances, typically in the arena of near-term forecasting, more deterministic approaches have been used. In general the approaches for coping with variability can be grouped into three basic categories: modeling, adaptive, and robust. Each category has its advantages and disadvantages, its advocates and adversaries. The author identifies methods in the indicated categories, and discusses attempts to improve ionospheric models.
机译:电离层变异性是在HF系统性能分析中遇到的更基本的问题之一,无论是在后播,临近预报还是预报领域。在大多数情况下,必须对问题进行统计处理。在某些情况下,通常在短期预测领域中,已使用更具确定性的方法。通常,应对可变性的方法可以分为三类:建模,自适应和鲁棒性。每个类别都有其优点和缺点,它的拥护者和对手。作者确定了所指示类别中的方法,并讨论了改进电离层模型的尝试。

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