Results 1 to 10 of about 4,469 (79)

Intra-Pulse Modulation Classification of Radar Emitter Signals Based on a 1-D Selective Kernel Convolutional Neural Network [PDF]

Remote Sensing, 2021
The intra-pulse modulation of radar emitter signals is a key feature for analyzing radar systems. Traditional methods which require a tremendous amount of prior knowledge are insufficient to accurately classify the intra-pulse modulations. Recently, deep
Shibo Yuan, Bin Wu, Peng Li
doaj   +4 more sources

Semi-Supervised Classification for Intra-Pulse Modulation of Radar Emitter Signals Using Convolutional Neural Network

Remote Sensing, 2022
Intra-pulse modulation classification of radar emitter signals is beneficial in analyzing radar systems. Recently, convolutional neural networks (CNNs) have been used in classification of intra-pulse modulation of radar emitter signals, and the results ...
Shibo Yuan, Peng Li, Bin Wu, Xiao Li, Jie Wang   +4 more
doaj   +4 more sources

Radar Intra–Pulse Signal Modulation Classification with Contrastive Learning

Remote Sensing, 2022
The existing research on deep learning for radar signal intra–pulse modulation classification is mainly based on supervised leaning techniques, which performance mainly relies on a large number of labeled samples.
Jingjing Cai, Fengming Gan, Xianghai Cao, Wei Liu, Peng Li   +4 more
doaj   +5 more sources

Towards Single-Component and Dual-Component Radar Emitter Signal Intra-Pulse Modulation Classification Based on Convolutional Neural Network and Transformer

Remote Sensing, 2022
In the modern electromagnetic environment, the intra-pulse modulations of radar emitter signals have become more complex. Except for the single-component radar signals, dual-component radar signals have been widely used in the current radar systems.
Shibo Yuan, Peng Li, Bin Wu
doaj   +4 more sources

An Adaptive Focal Loss Function Based on Transfer Learning for Few-Shot Radar Signal Intra-Pulse Modulation Classification

Remote Sensing, 2022
To solve the difficulty associated with radar signal classification in the case of few-shot signals, we propose an adaptive focus loss algorithm based on transfer learning.
Zehuan Jing, Peng Li, Bin Wu, Shibo Yuan, Yingchao Chen   +4 more
doaj   +4 more sources

A Denoising Method Based on DDPM for Radar Emitter Signal Intra-Pulse Modulation Classification

Remote Sensing
Accurately classifying the intra-pulse modulations of radar emitter signals is important for radar systems and can provide necessary information for relevant military command strategy and decision making.
Shibo Yuan, Peng Li, Xu Zhou, Yingchao Chen, Bin Wu   +4 more
doaj   +4 more sources

Automatic Radar Intra-Pulse Signal Modulation Classification Using the Supervised Contrastive Learning

Remote Sensing
The modulation classification technology for radar intra-pulse signals is important in the electronic countermeasures field. As the high quality labeled radar signals are difficult to be captured in the real applications, the signal modulation ...
Jingjing Cai, Yicheng Guo, Xianghai Cao
doaj   +4 more sources

Classification of Intra-Pulse Modulation of Radar Signals by Feature Fusion Based Convolutional Neural Networks [PDF]

2018 26th European Signal Processing Conference (EUSIPCO), 2018
Detection and classification of radars based on pulses they transmit is an important application in electronic warfare systems. In this work, we propose a novel deep-learning based technique that automatically recognizes intra-pulse modulation types of radar signals.
Yasar Kemal Alp, Gokhan Gok, Orhan Arikan   +2 more
exaly   +4 more sources

Radar Signal Intra-Pulse Modulation Recognition Based on Convolutional Denoising Autoencoder and Deep Convolutional Neural Network

IEEE Access, 2019
Radar signal intra-pulse modulation recognition is an important technology in electronic warfare. A radar signal intra-pulse modulation recognition method based on convolutional denoising autoencoder (CDAE) and deep convolutional neural network (DCNN) is
Zhiyu Qu, Wenyang Wang, Changbo Hou, Chenfan Hou   +3 more
doaj   +3 more sources

Radar Signal Intra-Pulse Modulation Recognition Based on Convolutional Neural Network and Deep Q-Learning Network

IEEE Access, 2020
Intra-pulse modulation recognition of radar signals is an important part of modern electronic intelligence reconnaissance and electronic support systems.
Zhiyu Qu, Chenfan Hou, Changbo Hou, Wenyang Wang   +3 more
doaj   +3 more sources