This paper proposes a PRI modulation recognition algorithm based on GAF-SE-CNN to address the problem of low recognition accuracy of existing algorithms.
This paper proposes a PRI modulation recognition algorithm based on GAF-SE-CNN to address the problem of low recognition accuracy of existing algorithms under.
Jul 12, 2024 · RADAR PRI MODULATION TYPE RECOGNITION BASED ON GAF-SE-CNN · FRPA.PA.21: RANDOM INTERPOLATION DATA AUGMENTATION FOR INCREMENTAL AUTOMATIC TARGET ...
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What are the different types of PRI modulation?
Toward Convolutional Neural Networks on Pulse Repetition ...
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A fully automatic approach for recognizing seven PRI modulation types using a convolutional neural network (CNN) is proposed in this letter and simulation ...
Oct 22, 2024 · Radar PRI Modulation Type Recognition Based on GAF-SE-CNN. Conference Paper. Jul 2024. Zhizhong Zhang · Xinyi Guo · Xiaoran Shi · Feng Zhou.
Nov 6, 2024 · Radar PRI Modulation Type Recognition Based on GAF-SE-CNN. IGARSS ... Shipborne Multi-Function Radar Working Mode Recognition Based on DP-ATCN.
Pulse repetition interval (PRI) modulation recognition is a significant means to analyze radar working statuses and missions in Electronic Support system.
ACSE Networks and Autocorrelation Features for PRI Modulation Recognition · Radar PRI Modulation Type Recognition Based on GAF-SE-CNN · CAU-Net: A Convolutional ...
Intrapulse modulation classification of radar signals plays an important role in modern electronic reconnaissance, countermeasures, etc.
Missing: GAF- | Show results with:GAF-
Aug 20, 2023 · In this study, we propose a CNN-transformer graph neural network (CTGNet) for modulation classification, to uncover complex representations in signal data.
Missing: PRI | Show results with:PRI