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The analysis of the scattered signal is carried out in the cases of ground scatter and ionospheric scatter. The analysis is based on the data of the decametre coherent Ekaterinburg radar owned by the Institute of Solar‐Terrestrial physics. In this study, the signals scattered in each sounding run are analysed before their statistical averaging. Based on the analysis, a model is constructed for ionospheric scatter and ground scatter signal, based on previously studied mechanisms. Within the framework of the Bayesian approach and based on large number of the data, the technique for identifying the two types of signals is constructed based on their different nature. The technique works without using traditional methods for estimating scattered signal parameters – spectral width, Doppler drift velocity or ray‐tracing. The statistical analysis of the results is carried out. The total error for equiprobable ground scatter and ionospheric scatter produced by the proposed algorithm over the selected dataset is 6.7%, that is about two times smaller than total error produced by traditional algorithms used at similar radars. The algorithm is functional at signal‐to‐noise ratios >1.

Identifying ground scatter and ionospheric scatter signals by using their fine structure at Ekaterinburg decametre coherent radar