A Denoising Method Based on DDPM for Radar Emitter Signal Intra-Pulse Modulation Classification

Accurately classifying the intra-pulse modulations of radar emitter signals is important for radar systems and can provide necessary information for relevant military command strategy and decision making. As strong additional white Gaussian noise (AWGN) leads to a lower signal-to-noise ratio (SNR) o...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Shibo Yuan, Peng Li, Xu Zhou, Yingchao Chen, Bin Wu
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	intra-pulse modulation classification radar emitter signal denoising diffusion probabilistic model signal denoising deep neural network
Online Access:	https://www.mdpi.com/2072-4292/16/17/3215