A Novel Frequency Hopping Prediction Model Based on TCN-GRU-Reference-Cited by-同舟云学术

A Novel Frequency Hopping Prediction Model Based on TCN-GRU

Published:2024-09-01 Issue:9 Volume:E107.A Page:1577-1581
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

ZHONG Chen¹,WU Chegnyu²,LI Xiangyang³,ZHAN Ao²,WANG Zhengqiang⁴

Affiliation:

1. School of Computer Science and Technology, Zhejiang Sci-Tech University

2. School of Information Science and Engineering, Zhejiang Sci-Tech University

3. Southwest China Institute of Electronic Technology

4. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunication

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Link

https://www.jstage.jst.go.jp/article/transfun/E107.A/9/E107.A_2023EAL2095/_pdf

Reference12 articles.

1. [1] J. Zhu, A. Wang, W. Wu, Z. Zhao, Y. Xu, R. Lei, and K. Yue, “Deep-learning-based recovery of frequency-hopping sequences for anti-jamming applications,” Electronics, vol.12, no.3, p.496, 2023. 10.3390/electronics12030496

2. [2] H. Pang, “Research on prediction algorithm of frequency hopping code sequence,” Master thesis, University of Electronic Science and Technology of China, School of Aeronautics and Astronautics, 2021.

3. [3] G. Li, J. Xu, W. Shen, W. Wang, Z. Liu, and G. Ding, “Lstm-based frequency hopping sequence prediction,” 2020 International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, pp.472-477, IEEE, 2020. 10.1109/wcsp49889.2020.9299717

4. [4] G. Li, W. Wang, and G. Ding, “Chaotic frequency hopping prediction based on temporal convolutional network,” 13th International Conference on Wireless Communications and Signal Processing, WCSP 2021, Changsha, China, pp.1-5, IEEE, 2021. 10.1109/wcsp52459.2021.9613632

5. [5] K. Liu, Y. Li, P. Wang, X. Peng, H. Liao, and W. Li, “A CFAR detection algorithm based on clutter knowledge for cognitive radar,” IEICE Trans. Fundamentals, vol.E106-A, no.3, pp.590-599, March 2023. 10.1587/transfun.2022eap1064