Automatic modulation recognition of compound signals using a deep multi-label classifier: A case study with radar jamming signals-Reference-Cited by-同舟云学术

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Automatic modulation recognition of compound signals using a deep multi-label classifier: A case study with radar jamming signals

Published:2020-04 Issue: Volume:169 Page:107393
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Zhu Mengtao,Li Yunjie,Pan Zesi,Yang Jian

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference55 articles.

1. Multiuser modulation classification based on cumulants in additive white Gaussian noise channel;Zaerin;Iet Signal Process.,2012

2. Automatic modulation classification of overlapped sources using multiple cumulants;Huang;IEEE Trans. Veh. Technol.,2017

3. Blind modulation classification for cognitive satellite in the spectral coexistence context;Gouldieff;IEEE Trans. Signal Process.,2017

4. Automatic modulation classification for mimo systems using fourth-order cumulants;Mühlhaus,2012

5. Robust multiuser automatic modulation classifier for multipath fading channels;Ramkumar,2010

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