A robust modulation classification method using convolutional neural networks

A robust modulation classification method using convolutional neural networks

Abstract Automatic modulation classification (AMC) is a core technique in noncooperative communication systems. In particular, feature-based (FB) AMC algorithms have been widely studied. Current FB AMC methods are commonly designed for a limited set of modulation and lack of generalization ability;...

Full description

Bibliographic Details
Main Authors: Siyang Zhou, Zhendong Yin, Zhilu Wu, Yunfei Chen, Nan Zhao, Zhutian Yang
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Robust automatic modulation classification
Convolutional neural networks
Deep learning
Feature learning
Online Access:http://link.springer.com/article/10.1186/s13634-019-0616-6

Internet

http://link.springer.com/article/10.1186/s13634-019-0616-6

Similar Items