Banca de DEFESA: CASSIANO PERIN DE CARVALHO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : CASSIANO PERIN DE CARVALHO
DATE: 10/12/2021
TIME: 09:00
LOCAL: Sala Virtual PPgEEC
TITLE:

Deep Learning Architecture for Automatic Modulation Classification in Time-Varying Fading and Impulsive Noise Channels.

KEY WORDS:

Automatic Modulation Classification, Deep Learning, Cyclostationary Analysis

PAGES: 60
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
SPECIALTY: Processamento Gráfico (Graphics)
SUMMARY:

The automatic modulation classification (AMC) allows identifying the kind of modulation of the received signal, being a key part of the development of cognitive radio devices that adapt the type of modulation to the characteristics of the communication environment. Several types of research on AMC have been done based on the analysis of the modulation signals and using its parameters for developing powerful feature descriptors to be used on this automatic classification. Recently, a new trend appears related to the use of architectures based on deep learning for this classification. Hence, in this work, we propose to use methods based on deep learning to classify the modulation type of a signal in an environment with doppler fading and impulsive noise. We studied and propose a model based on CNN that has shown to be comparable to the state-of-the-art methods.

BANKING MEMBERS:
Presidente - 1345674 - LUIZ MARCOS GARCIA GONCALVES
Interno - 1543191 - LUIZ FELIPE DE QUEIROZ SILVEIRA
Externo à Instituição - PEDRO THIAGO VALERIO DE SOUZA - UFERSA
Externo à Instituição - TALES VINÍCIUS RODRIGUES DE OLIVEIRA CÂMARA - UFRN