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Specific emitter identification based on graphical representation of the distribution of radar signal parameters

Dudczyk J., Kawalec A.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2015

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Vol. 63, nr 2

391--396

EN

The article presents some possibilities of same type radar copies identification with the use of graphical representation. The procedure described by the authors is based on transformation and analysis of basic parameters distribution which are measured by the radar signal especially Pulse Repetition Interval. A radar intercept receiver passively collects incoming pulse samples from a number of unknown emitters. Information such as Pulse Repetition Interval, Angle of Arrival, Pulse Width, Radio Frequency and Doppler shifts are not usable. The most important objectives are to determine the number of emitters present and classify incoming pulses according to emitters. To classify radar emitters and precisely identification the copy of the same type of an emitter source in surrounding environment, we need to explore the detailed structure i.e. intra-pulse information, unintentional radiated electromagnetic emission and fractal features of a radar signal. An emitter has its own signal structure. This part of radar signal analysis is called Specific Emitter Identification. Utilization of some specific properties of electronic devices can cause heightening probability of a correct identification.

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Fast-decision identification algorithm of emission source pattern in database

Dudczyk J., Kawalec A.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2015

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Vol. 63, nr 2

385--389

EN

This article presents Fast-decision Identification Algorithm (FdIA) of Source Emission (SE) in DataBase (DB). The aim of this identification process is to define signal vector (V) in the form of distinctive features of this signal which is received in the process of its measurement. Superheterodyne ELectronic INTelligence (ELINT) receiver in the measure procedure was used. The next step in identification process is comparison vector with pattern in DB and calculation of decision function. The aim of decision function is to evaluate similarity degree between vector and pattern. Identification process mentioned above differentiates copies of radar of the same type which is a special test challenge defined as Specific Emitter Identification (SEI). The authors of this method drew up FdIA and three-stage parameterization by the implementation of three different ways of defining the degree of similarity between vector and pattern (called ’Compare procedure’). The algorithm was tested on hundreds of signal vectors coming from over a dozen copies of radars of the same type. Fast-decision Identification Algorithm which was drawn up and implemented makes it possible to create Knowledge Base which is an integral part of Expert DataBase. As a result, the amount of the ambiguity of decisions in the process of Source Emission Identification is minimized.

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Wykorzystanie cech fraktalnych ekstrahowanych z sygnałów radarowych w procesie specyficznej identyfikacji

Dudczyk J., Kawalec A.

Przegląd Elektrotechniczny

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2014

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R. 90, nr 11

212--215

PL

W artykule przedstawiono procedurę rozpoznawania źródeł emisji radarowych o śladowo dystynktywnych cechach pierwotnych sygnału. Wykorzystano w tym celu cechy fraktalne ekstrahowane z sygnałów radarowych pochodzących od tych źródeł emisji. Procedura ta jest specyficznym rodzajem identyfikacji, znana jako Specific Emitter Identification. W wyniku zastosowanej procedury, możliwa jest jednoznaczna identyfikacja źródła sygnału radarowego co do jego egzemplarza.

EN

This article presents the procedure of radar emitter sources identification with low distinctive primary features of a signal. Fractal features extracted from incoming radar signals have been used during this method. This procedure is a specific type of recognition called Specific Emitter Identification. As a result of this procedure it is possible to identify a radar copy of the same type more precisely.