Detail publikace

Gaussian Mixture Models-based Recognition of Digital Modulations of Noisy Signals

KUBÁNKOVÁ, A. ATASSI, H. KUBÁNEK, D.

Originální název

Gaussian Mixture Models-based Recognition of Digital Modulations of Noisy Signals

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

A novel approach to the recognition of digital modulations is presented. It is based on features that characterize a specific kind of modulation or a group of modulations. These features are calculated from the instantaneous amplitude, instantaneous phase, and spectrum symmetry of the unknown signal. To recognize the modulations, an analysis of the features is carried out by means of a classifier based on Gaussian mixture models. The method was designed for 2ASK, 2FSK, MSK, BPSK, QPSK, and 16QAM modulations. They belong to the widely used digital modulations in recent communication systems. Simulation results demonstrating performance of the method are presented. The testing signals are corrupted by white Gaussian noise.

Klíčová slova

Recognition of Digital Modulations, Classification of Digital Modulations, Gaussian Mixture Models

Autoři

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

Rok RIV

2011

Vydáno

1. 4. 2011

Nakladatel

Brno University of Technology

Místo

Brno, Czech Republic

ISSN

1213-1539

Periodikum

Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)

Ročník

2

Číslo

1

Stát

Česká republika

Strany od

15

Strany do

22

Strany počet

8

URL

http://www.elektrorevue.cz

BibTex

@article{BUT74214,
  author="Anna {Kubánková} and Hicham {Atassi} and David {Kubánek}",
  title="Gaussian Mixture Models-based Recognition of Digital Modulations of Noisy Signals",
  journal="Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)",
  year="2011",
  volume="2",
  number="1",
  pages="15--22",
  issn="1213-1539",
  url="http://www.elektrorevue.cz"
}