Function Recognition Of Multi-function Radar Via CNN-GRU Neural Network
Author:
Affiliation:
1. University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731
2. Air Force Academy,Beijing,China,100085
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9904970/9904971/09904998.pdf?arnumber=9904998
Reference17 articles.
1. Radar Emitter Classification With Attention-Based Multi-RNNs
2. Method for functional state recognition of multifunction radars based on recurrent neural networks
3. Work modes recognition and boundary identification of MFR pulse sequences with a hierarchical seq2seq LSTM
4. A vector neural network for emitter identification
5. Toward Convolutional Neural Networks on Pulse Repetition Interval Modulation Recognition
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1. Multifunction Radar Working Mode Recognition With Unsupervised Hierarchical Modeling and Functional Semantics Embedding Based LSTM;IEEE Sensors Journal;2024-07-15
2. Pulse‐level work state recognition of multifunction radar based on MC‐RSG;IET Radar, Sonar & Navigation;2024-07-02
3. Research on single target cognitive electronic reconnaissance strategy for unmanned aerial vehicle;IET Radar, Sonar & Navigation;2023-09-08
4. Shipborne Multi-Function Radar Working Mode Recognition Based on DP-ATCN;Remote Sensing;2023-07-05
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