Publication detail

Recognition of Digital Modulations Based on Mathematical Classifier

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

Original Title

Recognition of Digital Modulations Based on Mathematical Classifier

Czech Title

Rozpoznávání digitálních modulací založené na matematickém klasifikátoru

English Title

Recognition of Digital Modulations Based on Mathematical Classifier

Type

conference paper

Language

en

Original Abstract

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.

Czech abstract

Článek popisuje metody rozpoznávání digitálních modulací založené na matematickém klasifikátoru a jejich testování. Jsou rozpoznávány modulace ASK, FSK2, FSK4, MSK, BPSK, QPSK, 8PSK a QAM-16.

English abstract

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.

Keywords

Classification of modulations, recognition, features, classification algorithm

RIV year

2010

Released

30.11.2010

Publisher

WSEAS Press

Location

Spain

ISBN

978-960-474-250-9

Book

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

Pages from

245

Pages to

249

Pages count

5

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"
}