Radar transmitting signal generation method for modulation recognition network stealth

被引：0
作者：
Zhang R. [1 ]
Zhu M. [1 ,2 ,3 ]
Li Y. [1 ,2 ,3 ]
机构：
[1] School of Information and Electronic, Beijing Institute of Technology, Beijing
[2] State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Luoyang
[3] Laboratory of Electromagnetic Space Cognition and Intelligent Control, Beijing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2024年 / 46卷 / 07期
关键词：
automatic modulation classification; deep neural network (D N N); radar transmitting signal; radio frequency stealth; time-frequency analysis;
D O I：
10.12305/j.issn.1001-506X.2024.07.09
中图分类号：
学科分类号：
摘要：
The electronic reconnaissance system in radar countermeasure scenarios greatly improves the recognition accuracy of radar signals by introducing an intelligent pulse modulation recognition network based on deep learning methods. In order to improve the modulation stealth and anti-recognition ability of radar signals, a radar transmission signal generation method that can make the deep recognition network make incorrect predictions is proposed. Firstly, the time-frequency spectrum of the signal is obtained through short-time Fourier transform (S T F T). Then, a time-frequency spectrum carrying modulated stealth information is generated iteratively. Finally, the improved inverse STFT is used to obtain the time-domain modulated stealth transmission signal. The radar signal generated by the proposed method is invisible to the modulation recognition network input from the time-frequency map, and can achieve pulse compression processing of the echo signal. The simulation results verified the effectiveness of the generated signal in resisting recognition, noise robustness, and pulse compression feasibility. © 2024 Chinese Institute of Electronics. All rights reserved.
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页码：2256 / 2268
页数：12
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