Detail publikace

Noise Robust Automatic Digital Modulation Recognition Based on Gaussian Mixture Models

KUBÁNKOVÁ, A. ATASSI, H. KUBÁNEK, D.

Originální název

Noise Robust Automatic Digital Modulation Recognition Based on Gaussian Mixture Models

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. A classifier based on Gaussian mixture models 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, Gaussian mixture models

Autoři

KUBÁNKOVÁ, A.; ATASSI, H.; KUBÁNEK, D.

Rok RIV

2011

Vydáno

2. 2. 2011

Nakladatel

VUT v Brně

Místo

Brno, Czech Republic

ISBN

978-80-214-4231-3

Kniha

Proceedings of the 6th International Conference on Teleinformatics - ICT 2011 (id 18951)

Strany od

220

Strany do

226

Strany počet

7

BibTex

@inproceedings{BUT74186,
  author="Anna {Kubánková} and Hicham {Atassi} and David {Kubánek}",
  title="Noise Robust Automatic Digital Modulation Recognition Based on Gaussian Mixture Models",
  booktitle="Proceedings of the 6th International Conference on Teleinformatics - ICT 2011 (id 18951)",
  year="2011",
  pages="220--226",
  publisher="VUT v Brně",
  address="Brno, Czech Republic",
  isbn="978-80-214-4231-3"
}