Intrapulse Modulation Radar Signal Recognition Using CNN with Second-Order STFT-Based Synchrosqueezing Transform

Intrapulse modulation classification of radar signals plays an important role in modern electronic reconnaissance, countermeasures, etc. In this paper, to improve the recognition rate at low signal-to-noise ratio (SNR), we propose a recognition method using the second-order short-time Fourier transf...

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Bibliografski detalji

Glavni autori:	Ning Dong, Hong Jiang, Yipeng Liu, Jingtao Zhang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-07-01
Serija:	Remote Sensing
Teme:	intrapulse radar signal modulation classification convolutional neural network (CNN) time–frequency image short-time Fourier transform (STFT) second-order STFT-based synchrosqueezing transform (FSST2)
Online pristup:	https://www.mdpi.com/2072-4292/16/14/2582
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