Automatic Wireless Signal Classification: A Neural-Induced Support Vector Machine-Based Approach

Automatic Wireless Signal Classification: A Neural-Induced Support Vector Machine-Based Approach

Automatic Classification of Wireless Signals (ACWS), which is an intermediate step between signal detection and demodulation, is investigated in this paper. ACWS plays a crucial role in several military and non-military applications, by identifying interference sources and adversary attacks, to achi...

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Bibliographic Details
Main Authors:	Arfan Haider Wahla, Lan Chen, Yali Wang, Rong Chen
Format:	Article
Language:	English
Published:	MDPI AG 2019-10-01
Series:	Information
Subjects:	convolutional neural networks support vector machine automatic classification of wireless signals feature learning
Online Access:	https://www.mdpi.com/2078-2489/10/11/338

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