Automatic Recognition of Dual-Component Radar Signals Based on Deep Learning

The increasing density and complexity of electromagnetic signals have brought new challenges to multi-component radar signal recognition. To address the problem of low recognition accuracy under low signal-to-noise ratios (SNR) in adapting the common recognition framework of combining time–frequency...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Zeyu Tang, Hong Shen, Chan-Tong Lam
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Subjects:	pulse-internal modulation classification dual-component pulse-internal modulation multi-label learning convolutional neural networks multi-head self-attention
Online Access:	https://www.mdpi.com/1424-8220/25/6/1809