AUTHORS: Anton V. Kvasnov, Vyacheslav P. Shkodyrev, Dmitry G. Arsenyev
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ABSTRACT: The method of recognition the radar emitting sources based on the naive Bayesian classifier is considered in the article. A feature of the method is the comparison of the received radar parameters of the object with the parameters that are contained in the a priori database. The probability of object recognition is revealed based on the results of the comparison. The article shows an algorithm for applying the method in the case of the normal distribution of each radar parameters. The applied conditions of the method are determined depended on the number of non-zero features and the size of the database. Simulation modeling was performed, which showed the possibility of using the recognition algorithm in software and hardware radar systems.
KEYWORDS: radar emitting sources, naive Bayesian classifier, method of radar’s recognition, radio-technical signal
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