Classifying LPI Radar Waveforms With Time-Frequency Transformations Using Multi-Stage CNN System-Reference-Cited by-同舟云学术

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Classifying LPI Radar Waveforms With Time-Frequency Transformations Using Multi-Stage CNN System

Published:2022-09-12 Issue: Volume: Page:
ISSN:
Container-title:2022 23rd International Radar Symposium (IRS)
language:
Short-container-title:

Author:

Guven Islam¹,Yagmur Can¹,Karadas Bahadir¹,Parlak Mehmet¹

Affiliation:

1. Ozyegin University,Faculty of Engineering,Department of Electrical and Electronics,Istanbul,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9904970/9904971/09904993.pdf?arnumber=9904993

Reference29 articles.

1. Machine learning-based radar waveform classification for cognitive EW

2. The smoothed pseudo Wigner distribution in speech processing

3. An efficient real-time implementation of the Wigner-Ville distribution

4. Fast calculation of the Choi-Williams time-frequency distribution

5. Short-time fourier transform: two fundamental properties and an optimal implementation

Cited by 2 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. Open‐set recognition of LPI radar signals based on a slightly convolutional neural network and support vector data description;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2024-01-22

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