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Data processing for intensity of HF signal based on the GM (1, 1) model

机译：基于GM（1，1）模型的HF信号强度数据处理

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摘要

In order to solver the high frequency (HF) skywave signal field intensity data influenced by ionosphere fast fading, the gross error discriminant formula based on GM(1,1) is used to eliminate the break data influenced by the ionosphere fast fading in this paper. By introducing modeling accuracy and distinguish threshold, the gross error discriminant formula can rationally eliminate gross error data from signal field intensity data. For illustration, a typical HF skywave signal field intensity data treatment example is utilized to show the feasibility of the gross error discriminant formula in reducing the influence of ionosphere fast fading and improving the processing accuracy. Empirical results show that the Rayleigh distribution characteristic changes between, before and after treatment directly illustrated by the effectiveness of the gross error discriminant formula. The gross error discriminant formula based on the GM(1,1) Model can effectively eliminate the break data influenced by the ionosphere fast fading and solve the problem of HF skywave signal field intensity data processing and analysis.
机译：为了解决电离层快速衰落影响的高频（HF）天波信号场强度数据，本文采用基于GM（1,1）的总误差判别公式消除电离层快速衰落影响的断裂数据。 。通过引入建模精度和区分阈值，总误差判别公式可以从信号场强度数据中合理地消除总误差数据。为了说明，使用一个典型的HF天波信号场强度数据处理示例来说明总误差判别公式在减少电离层快速衰落的影响和提高处理精度方面的可行性。经验结果表明，在处理前后，处理前后，瑞利分布特征的变化直接由总误差判别公式的有效性直接说明。基于GM（1,1）模型的总误差判别公式可以有效消除电离层快速衰落影响的断裂数据，解决了HF天波信号场强度数据的处理和分析问题。

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