A method of feature selection in the aspect of specific identification of radar signals

• Autorzy: Dudczyk J.

Identyfikatory

DOI

10.1515/bpasts-2017-0014

• Języki publikacji: EN

Abstrakty

EN

This article presents an important task of classification, i.e. mapping surfaces which separate patterns in feature space in the scope of radar emitter recognition (RER) and classification. Assigning a tested radar to a particular class is based on defining its location from the discriminating areas. In order to carry out the classification process, it is necessary to define metrics in the feature space as it is essential to estimate the distance of a classified radar from the centre of the class. The method presented in this article is based on extraction and selection of distinctive features, which can be received in the process of specific emitter identification (SEI) of radar signals, and on the minimum distance classification. The author suggests a RER system which consists of a few independent channels. The task of each channel is to calculate the distance of the tested radar from a given class and finally, set the correct identification coefficient for each recognized radar. Thus, a multichannel system with independent distance measurement is obtained, which makes it possible to recognize particular radar copies. This system is implemented in electronic intelligence (ELINT) system and tested in real battlefield conditions.

Słowa kluczowe

EN

radar emitter recognition; RER; specific emitter identification; SEI; minimum distance classification; ELINT system

PL

RER; SEI; klasyfikator minimalnej odległości; System ELINT

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2017
• Tom: Vol. 65, nr 1
• Strony: 113--119
• Opis fizyczny: Bibliogr. 34 poz., tab., rys., wykr.

Twórcy

autor

Dudczyk J.

• WB Electronics S.A., 129/133 Poznańska St., 05-850 Ożarów Mazowiecki, Poland

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).