Noise Robust Automatic Digital Modulation Recognition Based on Gaussian Mixture Models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU94338" target="_blank" >RIV/00216305:26220/11:PU94338 - 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
Noise Robust Automatic Digital Modulation Recognition Based on Gaussian Mixture Models
Original language description
The paper describes a method for the classification of digital modulations. The method uses features computed from parameters of recognized signal such as instantaneous amplitude, instantaneous phase, and spectrum symmetry. A classifier based on Gaussian mixture models was used to analyze the features and classify the modulations. ASK, FSK, MSK, BPSK, QPSK, and QAM-16 were chosen for the classification as the best-known digital modulations used in modern communication technologies. The effectivity of the method designed was tested using signals corrupted by white Gaussian noise.
Czech name
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Czech description
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Project
<a href="/en/project/GP102%2F09%2FP626" target="_blank" >GP102/09/P626: Automatic Classification of Digital Modulations</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 6th International Conference on Teleinformatics - ICT 2011 (id 18951)
ISBN
978-80-214-4231-3
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
220-226
Publisher name
VUT v Brně
Place of publication
Brno, Czech Republic
Event location
Dolní Morava
Event date
Feb 2, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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