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Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading

Abstract: 

To develop intelligent receivers, automatic modulation classification (AMC) plays an important role for better spectrum utilization. The emerging deep learning (DL) technique has received much attention in AMC due to its superior performance in classifying data with deep structure. In this work, a novel polar-based deep learning architecture with channel compensation network (CCN) is proposed. Our test results show that learning features from polar domain (r-θ) can improve recognition accuracy by 5% and reduce training overhead by 48%. Besides, the proposed CCN is also robust to channel fading, such as amplitude and phase offsets, and can improve the recognition accuracy by 14% under practical channel environments.

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Paper Details

Authors:
Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu
Submitted On:
27 November 2018 - 6:59am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Chieh-Fang Teng
Paper Code:
DLW-L.1.1
Document Year:
2018
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Document Files

2018 GlobalSIP Oral.pdf

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[1] Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu, "Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3811. Accessed: Jul. 19, 2019.
@article{3811-18,
url = {http://sigport.org/3811},
author = {Ching-Chun Liao; Chun-Hsiang Chen; An-Yeu (Andy) Wu },
publisher = {IEEE SigPort},
title = {Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading},
year = {2018} }
TY - EJOUR
T1 - Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading
AU - Ching-Chun Liao; Chun-Hsiang Chen; An-Yeu (Andy) Wu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3811
ER -
Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu. (2018). Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading. IEEE SigPort. http://sigport.org/3811
Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu, 2018. Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading. Available at: http://sigport.org/3811.
Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu. (2018). "Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading." Web.
1. Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu. Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3811