Detail publikace

Recognition of Digital Modulations Based on Mathematical Classifier

KUBÁNKOVÁ, A. PŘINOSIL, J. KUBÁNEK, D.

Originální název

Recognition of Digital Modulations Based on Mathematical Classifier

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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. The GentleBoost algorithm 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.

Klíčová slova

Classification of modulations, recognition, features, classification algorithm

Autoři

KUBÁNKOVÁ, A.; PŘINOSIL, J.; KUBÁNEK, D.

Rok RIV

2010

Vydáno

30. 11. 2010

Nakladatel

WSEAS Press

Místo

Spain

ISBN

978-960-474-250-9

Kniha

Proceedings of the European Conference of Communications (ECCOM '10)

Strany od

245

Strany do

249

Strany počet

5

BibTex

@inproceedings{BUT34668,
  author="Anna {Kubánková} and Jiří {Přinosil} and David {Kubánek}",
  title="Recognition of Digital Modulations Based on Mathematical Classifier",
  booktitle="Proceedings of the European Conference of Communications (ECCOM '10)",
  year="2010",
  pages="245--249",
  publisher="WSEAS Press",
  address="Spain",
  isbn="978-960-474-250-9"
}