Publication detail

Digital modulation classification based on characteristic features and GentleBoost algorithm

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

Original Title

Digital modulation classification based on characteristic features and GentleBoost algorithm

English Title

Digital modulation classification based on characteristic features and GentleBoost algorithm

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

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

RIV year

2011

Released

18.08.2011

Publisher

Asszisztencia Szervezo Kft.

Location

Budapest, Hungary

ISBN

978-1-4577-1410-8

Book

34th International Conference on Telecommunications and Signal Processing

Pages from

448

Pages to

451

Pages count

4

Documents

BibTex


@inproceedings{BUT74188,
  author="Anna {Kubánková} and David {Kubánek} and Jiří {Přinosil}",
  title="Digital modulation classification based on characteristic features and GentleBoost algorithm",
  annote="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.",
  address="Asszisztencia Szervezo Kft.",
  booktitle="34th International Conference on Telecommunications and Signal Processing",
  chapter="74188",
  howpublished="electronic, physical medium",
  institution="Asszisztencia Szervezo Kft.",
  year="2011",
  month="august",
  pages="448--451",
  publisher="Asszisztencia Szervezo Kft.",
  type="conference paper"
}