Time-frequency Analysis and Convolutional Neural Network Based Fuze Jamming Signal Recognition-Reference-Cited by-同舟云学术

Time-frequency Analysis and Convolutional Neural Network Based Fuze Jamming Signal Recognition

Published:2023-02-19 Issue: Volume: Page:
ISSN:
Container-title:2023 25th International Conference on Advanced Communication Technology (ICACT)
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Author:

Yang Jikai¹,Bai Zhiquan¹,Hu Jiacheng¹,Yang Yingchao¹,Xian Zhaoxia¹,Hao Xinhong²,Kwak KyungSup³

Affiliation:

1. Shandong University,Shandong Provincial Key Lab. of Wireless Communication Technologies, School of Information Science and Engineering,Qingdao,Shandong,China,266237

2. Beijing Institute of Technology,School of Mechatronical Engineering,Beijing,China,100081

3. INHA University,Graduate School of Information Technology and Telecommunications,Incheon,Korea,22212

Funder

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10079232/10079243/10079346.pdf?arnumber=10079346

Reference12 articles.

1. Matching pursuits with time-frequency dictionaries

2. Classification of Radar Signals with Convolutional Neural Networks

3. Adversarial Deception on Deep-Learning Based Radio Waveforms Classification

4. Sorting of Low Probability of Intercept Radar Signals Based on Frequency Modulation Constancy Using Wigner-Ville Distribution

5. Identification of electromagnetic interferences based on adaptive sparsest time — Frequency analysis

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