[HTML][HTML] 雷达辐射源个体识别综述

史亚, 张文博, 朱明哲, 王磊, 徐胜军 - 电子与信息学报, 2022 - jeit.ac.cn
雷达辐射源个体识别通过提取个体特征来辨识雷达个体, 是电子对抗领域的热点研究方向.
近年来随着深度学习的飞速发展及其在各领域的成功应用, 基于深度学习的雷达辐射源个体识别 …

[HTML][HTML] Specific radar emitter identification: A comprehensive review

SHI Ya, Z Wenbo, ZHU Mingzhe, W Lei, XU Shengjun - 电子与信息学报, 2022 - jeit.ac.cn
Specific radar emitter identification distinguishes each radar emitter based on the extracted
individual features, which is crucial for electronic countermeasures. With the rapid …

WVD‐GAN: A Wigner‐Ville distribution enhancement method based on generative adversarial network

D Quan, F Ren, X Wang, M Xing, N Jin… - IET Radar, Sonar & …, 2024 - Wiley Online Library
Time‐frequency analysis based on Wigner‐Ville distribution (WVD) plays a significant role in
analysing non‐stationary signals, but it is susceptible to interference from cross‐terms (CTs) …

A time-frequency image denoising method via neural networks for radar waveform recognition

Z Hu, J Huang, D Hu, Z Wang - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
Time-frequency images (TFIs) of radar emitter signals can reflect intra-pulse modulation
information and be utilized to recognize waveforms, which is helpful for radar emitter …

Intra-pulse modulation recognition of radar signals based on multi-feature random matching fusion network

Y Liao, F Jiang, J Wang - The Journal of Supercomputing, 2023 - Springer
Intra-pulse modulation recognition of radar signals plays an important role in the field of
electronic warfare. In this paper, a multi-feature random matching fusion (MFRMF) network is …

[HTML][HTML] Angle-micro-Doppler frequency image of underwater target multi-highlight combining with sparse reconstruction

S Kou - Applied Acoustics, 2022 - Elsevier
Aiming at the problem of low angle resolution and difficult extraction of time-varying features
in underwater target multi-highlight acoustic imaging, an acoustic imaging method of multi …

Attention-Enhanced Dual-Branch Residual Network with Adaptive L-Softmax Loss for Specific Emitter Identification under Low-Signal-to-Noise Ratio Conditions

Z Jing, P Li, B Wu, E Yan, Y Chen, Y Gao - Remote Sensing, 2024 - mdpi.com
To address the issue associated with poor accuracy rates for specific emitter identification
(SEI) under low signal-to-noise ratio (SNR) conditions, where the single-dimension radar …

A novel framework for extracting moment-based fingerprint features in specific emitter identification

Y Zhao, X Wang, L Sun, Z Huang - EURASIP Journal on Advances in …, 2023 - Springer
Extensive experiments illustrate that moments and their derivations can act as effective
fingerprint features for specific emitter identification. Nevertheless, the lack of mechanistic …

Data Augmentation and Individual Identification Method for Emitters Using Contour Stella Image Mapping

G Han, W Wang, Z Xu, A Li - IEEE Transactions on Cognitive …, 2024 - ieeexplore.ieee.org
In wireless communication networks (WCN), numerous devices are interconnected with one
another, which poses challenges to the security of WCN. Specific emitter identification (SEI) …

Design of Cognitive Jamming Decision-Making System Against MFR Based on Reinforcement Learning

W Zhang, D Ma, Z Zhao, F Liu - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Electronic countermeasures are developing towards intelligence. The multifunctional radar
changes its working state in real time according to the task requirements. The traditional …