Waveform Recognition in Multipath Fading using Autoencoder and CNN with Fourier Synchrosqueezing Transform-Reference-Cited by-同舟云学术

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Waveform Recognition in Multipath Fading using Autoencoder and CNN with Fourier Synchrosqueezing Transform

Published:2020-04 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Radar Conference (RADAR)
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Author:

Kong Gyuyeol,Jung Minchae,Koivunen Visa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9109357/9114538/09114783.pdf?arnumber=9114783

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. WaveNet: Toward Waveform Classification in Integrated Radar–Communication Systems With Improved Accuracy and Reduced Complexity;IEEE Internet of Things Journal;2024-07-15

2. Automatic Classification of Frequency-Modulated Radar Waveforms Under Multipath Conditions;IEEE Sensors Journal;2023-08-15

3. Radar Intrapulse Modulation Classification with Deep Learning;2023 31st Signal Processing and Communications Applications Conference (SIU);2023-07-05

4. Performance and complexity study of a neural network post-equalizer in a 638-nm laser transmission system through over 100-m plastic optical fiber;Optical Engineering;2022-12-24

5. Performance Analysis of Sequence-based Deep Learning Model for LPI Radar Waveform Recognition in Fading Channel;2022 13th International Conference on Information and Communication Technology Convergence (ICTC);2022-10-19

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