[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 …
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 …
individual features, which is crucial for electronic countermeasures. With the rapid …
WVD‐GAN: A Wigner‐Ville distribution enhancement method based on generative adversarial network
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) …
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 …
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 …
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 …
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 …
(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 …
fingerprint features for specific emitter identification. Nevertheless, the lack of mechanistic …
Data Augmentation and Individual Identification Method for Emitters Using Contour Stella Image Mapping
In wireless communication networks (WCN), numerous devices are interconnected with one
another, which poses challenges to the security of WCN. Specific emitter identification (SEI) …
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 …
changes its working state in real time according to the task requirements. The traditional …