Zhurnal Radioelektroniki - Journal of Radio Electronics. eISSN 1684-1719. 2020. No. 11
ContentsFull text in Russian (pdf)
DOI https://doi.org/10.30898/1684-1719.2020.11.12
UDC 621.376.3
Method for automatic modulation classification of spectral-effective radio signals based on the classification of radio signals patterns in the parameter space of phase diagram by the criterion of the minimum Euclidean distance
E. P. Kadukov, I. K. Utimisheva
A.F.Mozhaisky Military Space Academy, Zhdanovskaya str., 13, Saint-Petersburg 197198, Russia
The paper is received on November 23, 2020
Abstract. A method for automatic modulation classification (AMC) of spectral-effective radio signals generated based on various kinds of roll-off filters is presented. The developed method is intended for automatic radio monitoring (RM) of radio emission parameters without demodulation using digital oscilloscopes in order to control compliance with the discipline and radio communication regulations by users of satellite communication systems (SCS). It is proposed to AMC based on the results of the parameters analysis of the phase diagrams (PD) of radio signals. The proposed approach to AMC is based on the idea of displaying radio signals characterized by many different modulation parameters in the form of pattern in the parameter space of PD of continuous phase modulation radio signals (CPM). Developed an alphabet of classes and was proposed a dictionary of features for a variety of alternatives for CPM AMC. To assess the nature of changes in the parameters of the PD of radio signals, reference descriptions of specific classes of the a priori dictionary are obtained, taking into account changes in the variable parameters that form a set of recognition alternatives. The influence of the size of the analyzed fragment and the signal-to-noise ratio (SNR) under the influence of additive white Gaussian noise (AWGN), characteristic of satellite channels, on the quality for CPM AMC, has been estimated. The article substantiates the content of the main stages of the classification of CPM in the parameter space of PD. As a result of statistical experiments, estimates of the probabilities of correct for CPM AMC were obtained.
Keywords: automatic modulation classification, satellite communication systems, continuous phase modulation, phase diagram, pattern recognition.
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For citation:
Kadukov E.P., Utimisheva I.K. Method for automatic modulation classification of spectral-effective radio signals based on the classification of radio signals patterns in the parameter space of phase diagram by the criterion of the minimum Euclidean distance. Zhurnal Radioelektroniki - Journal of Radio Electronics. 2020. No.11. https://doi.org/10.30898/1684-1719.2020.11.12 (In Russian)