Detail publikace

Digital modulation classification based on characteristic features and GentleBoost algorithm

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

Originální název

Digital modulation classification based on characteristic features and GentleBoost algorithm

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper describes algorithm for the classification of digital modulations and its testing with disturbed signals. 2ASK, 2FSK, 4FSK, MSK, BPSK, QPSK, 8PSK and 16QAM were chosen for recognition as the best-known digital modulations used in modern communication technologies. The method designed uses ten features computed from parameters of recognized signal such as instantaneous amplitude, instantaneous phase, instantaneous frequency and spectrum characteristic. The GentleBoost algorithm was used to analyze the features and classify the modulations. We used multipath fading channel to model signal propagation and disturbed the signal by white Gaussian noise for the purpose of testing the algorithm.

Klíčová slova

Recognition of modulations, Digital modulation, Classification algorithm, Features extraction

Autoři

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

Rok RIV

2011

Vydáno

18. 8. 2011

Nakladatel

Asszisztencia Szervezo Kft.

Místo

Budapest, Hungary

ISBN

978-1-4577-1410-8

Kniha

34th International Conference on Telecommunications and Signal Processing

Strany od

448

Strany do

451

Strany počet

4

BibTex

@inproceedings{BUT74188,
  author="Anna {Kubánková} and David {Kubánek} and Jiří {Přinosil}",
  title="Digital modulation classification based on characteristic features and GentleBoost algorithm",
  booktitle="34th International Conference on Telecommunications and Signal Processing",
  year="2011",
  pages="448--451",
  publisher="Asszisztencia Szervezo Kft.",
  address="Budapest, Hungary",
  isbn="978-1-4577-1410-8"
}