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

Anglický název

Recognition of Digital Modulations Based on Mathematical Classifier

Jazyk

en

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.

Anglický 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.

Dokumenty

BibTex


@inproceedings{BUT34668,
  author="Anna {Kubánková} and Jiří {Přinosil} and David {Kubánek}",
  title="Recognition of Digital Modulations Based on Mathematical Classifier",
  annote="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.",
  address="WSEAS Press",
  booktitle="Proceedings of the European Conference of Communications (ECCOM '10)",
  chapter="34668",
  howpublished="electronic, physical medium",
  institution="WSEAS Press",
  year="2010",
  month="november",
  pages="245--249",
  publisher="WSEAS Press",
  type="conference paper"
}