has been cited by the following article(s):
[1]
|
Radar Spectrum Image Classification Based on Deep Learning
|
|
Electronics,
2023 |
|
|
[2]
|
Interference classification and identification of TDCS based on improved convolutional neural network
|
|
2020 |
|
|
[3]
|
基于 IFOA-SA-BP 神经网络的雷达信号识别
|
|
2020 |
|
|
[4]
|
Radar signal recognition based on IFOA-SA-BP neural network.
|
|
Systems Engineering & Electronics,
2020 |
|
|
[5]
|
基于卷积神经网络的超短波特定信号谱图识别
|
|
2019 |
|
|
[6]
|
基于深度学习和集成学习的辐射源信号识别.
|
|
Systems Engineering & …,
2018 |
|
|
[7]
|
Radar Emitter Recognition Based on SIFT Position and Scale Features
|
|
2018 |
|
|
[8]
|
雷达辐射源信号识别特征参数集的构建方法
|
|
2018 |
|
|
[9]
|
基于深度学习和集成学习的辐射源信号识别
|
|
2018 |
|
|
[10]
|
基于时频分析的自适应 PCA 辐射源调制识别
|
|
2018 |
|
|
[11]
|
Radar Emitter Signal Identification Based on SLIDE+ SVM
|
|
Journal of System Simulation,
2017 |
|
|
[12]
|
基于 SLIDE+ SVM 的雷达辐射源信号识别
|
|
系统仿真学报,
2017 |
|
|
[13]
|
Method for modulation recognition of radar signals in complex environment
|
|
Journal of System Simulation,
2016 |
|
|
[14]
|
一种多径环境下的雷达信号脉内调制分类方法
|
|
系统仿真学报,
2016 |
|
|
[15]
|
Real-time low-complexity automatic modulation classifier for pulsed radar signals
|
|
Aerospace and Electronic Systems, IEEE Transactions on,
2015 |
|
|
[16]
|
DISENO DE ALGORITMOS DE GUERRA ELECTRONICA Y RADAR PARA SU IMPLEMENTACION EN SISTEMAS DE TIEMPO REAL
|
|
2015 |
|
|
[17]
|
Diseño de algoritmos de guerra electrónica y radar para su implementación en sistemas de tiempo real
|
|
2015 |
|
|
[18]
|
基于时频图像处理提取瞬时频率的雷达信号识别
|
|
系统仿真学报,
2014 |
|
|
[1]
|
Interference classification and identification of TDCS based on improved convolutional neural network
Journal of Physics: Conference Series,
2020
DOI:10.1088/1742-6596/1651/1/012155
|
|
|
[2]
|
Radar Emitter Recognition Based on SIFT Position and Scale Features
IEEE Transactions on Circuits and Systems II: Express Briefs,
2018
DOI:10.1109/TCSII.2018.2819666
|
|
|
[3]
|
Real-time low-complexity automatic modulation classifier for pulsed radar signals
IEEE Transactions on Aerospace and Electronic Systems,
2015
DOI:10.1109/TAES.2014.130183
|
|
|