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

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.