Standard

Method of recognition the radar emitting sources based on the naive bayesian classifier. / Kvasnov, Anton V.; Shkodyrev, Vyacheslav P.; Arsenyev, Dmitry G.

In: WSEAS Transactions on Systems and Control, Vol. 14, 14, 2019, p. 112-120.

Research output: Contribution to journal › Article › peer-review

Harvard

Kvasnov, AV, Shkodyrev, VP & Arsenyev, DG 2019, 'Method of recognition the radar emitting sources based on the naive bayesian classifier', WSEAS Transactions on Systems and Control, vol. 14, 14, pp. 112-120.

APA

Kvasnov, A. V., Shkodyrev, V. P., & Arsenyev, D. G. (2019). Method of recognition the radar emitting sources based on the naive bayesian classifier. WSEAS Transactions on Systems and Control, 14, 112-120. [14].

Vancouver

Kvasnov AV, Shkodyrev VP, Arsenyev DG. Method of recognition the radar emitting sources based on the naive bayesian classifier. WSEAS Transactions on Systems and Control. 2019;14:112-120. 14.

Author

Kvasnov, Anton V. ; Shkodyrev, Vyacheslav P. ; Arsenyev, Dmitry G. / Method of recognition the radar emitting sources based on the naive bayesian classifier. In: WSEAS Transactions on Systems and Control. 2019 ; Vol. 14. pp. 112-120.

BibTeX

@article{2feade3a986f4d78a32b815433b4c4ec,
title = "Method of recognition the radar emitting sources based on the naive bayesian classifier",
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 = "Key-words: radar emitting sources, Method of radar{\textquoteright}s recognition, Naive Bayesian classifier, Radio-technical signal",
author = "Kvasnov, {Anton V.} and Shkodyrev, {Vyacheslav P.} and Arsenyev, {Dmitry G.}",
note = "Publisher Copyright: {\textcopyright} 2019, World Scientific and Engineering Academy and Society. All rights reserved. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",
year = "2019",
language = "English",
volume = "14",
pages = "112--120",
journal = "WSEAS Transaction on Systems and Control",
issn = "1991-8763",
publisher = "WORLD SCIENTIFIC PUBL CO PTE LTD",

}

RIS

TY - JOUR

T1 - Method of recognition the radar emitting sources based on the naive bayesian classifier

AU - Kvasnov, Anton V.

AU - Shkodyrev, Vyacheslav P.

AU - Arsenyev, Dmitry G.

N1 - Publisher Copyright: © 2019, World Scientific and Engineering Academy and Society. All rights reserved. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Key-words: radar emitting sources

KW - Method of radar’s recognition

KW - Naive Bayesian classifier

KW - Radio-technical signal

UR - http://www.scopus.com/inward/record.url?scp=85069723066&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85069723066

VL - 14

SP - 112

EP - 120

JO - WSEAS Transaction on Systems and Control

JF - WSEAS Transaction on Systems and Control

SN - 1991-8763

M1 - 14

ER -

ID: 77973883