Radar Signal Recognition Method Based on Gaussian Mixture Models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU98295" target="_blank" >RIV/00216305:26220/12:PU98295 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Radar Signal Recognition Method Based on Gaussian Mixture Models
Original language description
This paper describes an automatic recognition method of radar signals. The modern radar systems utilize many heterogeneous signals and corresponding number of various recognition methods exist. Nevertheless, this paper is focused on an automatic target recognition method based on calculation of the Gaussian Mixture Models because they can be widely used and theirs parameters are easy to change. These abilities predetermine the Gaussian Mixture Models recognition method to cover the most of the radar signals recognition tasks. The Gaussian Mixture Models were obtained for a wide range of heterogeneous radar signals. The Maximum-likelihood criterion was applied to these models and algorithm performance was examined.
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 18th Conference STUDENT EEICT 2012 Volume 3
ISBN
978-80-214-4462-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
54-58
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Brno
Event date
Apr 26, 2012
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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