Perspective Methods of Radar Pulse Classification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F15%3A00531281" target="_blank" >RIV/60162694:G43__/15:00531281 - isvavai.cz</a>

Výsledek na webu

<a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MILTECHS.2015.7153709" target="_blank" >10.1109/MILTECHS.2015.7153709</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Perspective Methods of Radar Pulse Classification

Popis výsledku v původním jazyce

This paper deals with perspective methods of radar pulses classification. Ability to classify pulses is required by ELINT in order to deinterleave signals and unambiguously identify the source of analyzed signal. Experiments has shown that the best classification methods are based on auto-correlation, cross-correlation, and frequency spectrum analysis. Some other pulse feature are incorporated for the purpose of computation acceleration. The most useful features are the pulse width, carrier frequency, instantaneous frequency variations and instantaneous amplitude variations. Testing has been performed using real signals, emitted by different radars in L, S, C, X bands. A new program for a pulse classification has been written in MATLAB. The program automatically computes key features of an unknown pulse and compares them to data stored in a database. Acquired results proves, that this kind of analysis and classification is usable in real applications.

Název v anglickém jazyce

Perspective Methods of Radar Pulse Classification

Popis výsledku anglicky

This paper deals with perspective methods of radar pulses classification. Ability to classify pulses is required by ELINT in order to deinterleave signals and unambiguously identify the source of analyzed signal. Experiments has shown that the best classification methods are based on auto-correlation, cross-correlation, and frequency spectrum analysis. Some other pulse feature are incorporated for the purpose of computation acceleration. The most useful features are the pulse width, carrier frequency, instantaneous frequency variations and instantaneous amplitude variations. Testing has been performed using real signals, emitted by different radars in L, S, C, X bands. A new program for a pulse classification has been written in MATLAB. The program automatically computes key features of an unknown pulse and compares them to data stored in a database. Acquired results proves, that this kind of analysis and classification is usable in real applications.

Druh

D - Stať ve sborníku

CEP obor

KA - Vojenství

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Conference on Military Technologies 2015

ISBN

978-80-7231-976-3

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

387-394

Název nakladatele

University of Defence

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

19. 5. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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