A Knowledge Graph-Driven CNN for Radar Emitter Identification
In recent years, the rapid development of deep learning technology has brought new opportunities for specific emitter identification and has greatly improved the performance of radar emitter identification.
Yingchao Chen +5 more
doaj +6 more sources
1D-CNN-Transformer for Radar Emitter Identification and Implemented on FPGA
Deep learning has brought great development to radar emitter identification technology. In addition, specific emitter identification (SEI), as a branch of radar emitter identification, has also benefited from it.
Xiangang Gao +3 more
doaj +6 more sources
Radar Emitter Identification with Multi-View Adaptive Fusion Network (MAFN)
Radar emitter identification (REI) aims to extract the fingerprint of an emitter and determine the individual to which it belongs. Although many methods have used deep neural networks (DNNs) for an end-to-end REI, most of them only focus on a single view
Shuyuan Yang +5 more
doaj +6 more sources
A Novel Method of Radar Emitter Identification Based on the Coherent Feature [PDF]
To deal with the problem of reliability degradation of radar emitter identification (REID) based on the traditional five parameters in a complex electromagnetic environment, a new feature extraction method based on the autocorrelation function of ...
Jian Xue +3 more
doaj +6 more sources
Radar Emitter Identification under Transfer Learning and Online Learning [PDF]
At present, there are two main problems in the commonly used radar emitter identification methods. First, when the distribution of training data and testing data is quite different, the identification accuracy is low.
Yuntian Feng +5 more
doaj +4 more sources
Feature Analysis and Extraction for Specific Emitter Identification Based on the Signal Generation Mechanisms of Radar Transmitters [PDF]
In this study, a feature analysis and extraction method was proposed for specific emitter identification based on the signal generation mechanisms of radar transmitters. The generation of radar signals by radar transmitters was analyzed theoretically and
Yilin Liu +4 more
doaj +5 more sources
IRelNet: An Improved Relation Network for Few-Shot Radar Emitter Identification
In future electronic warfare (EW), there will be many unmanned aerial vehicles (UAVs) equipped with electronic support measure (ESM) systems, which will often encounter the challenge of radar emitter identification (REI) with few labeled samples.
Zilong Wu, Meng Du, Daping Bi, Jifei Pan
doaj +5 more sources
Prototype‐based method for incremental radar emitter identification
With the widespread use of radars, different types of radar emitters are being used in the real electromagnetic environment. Radar emitter identification (REI) is an important technique in spectrum management.
Xiao Han +3 more
doaj +4 more sources
An Unknown Radar Emitter Identification Method Based on Semi-Supervised and Transfer Learning [PDF]
Aiming at the current problem that it is difficult to deal with an unknown radar emitter in the radar emitter identification process, we propose an unknown radar emitter identification method based on semi-supervised and transfer learning. Firstly, we construct the support vector machine (SVM) model based on transfer learning, using the information of ...
Yuntian Feng, Chen Xiang
exaly +4 more sources
Deep Learning Techniques in Radar Emitter Identification
In the field of electronic warfare (EW), one of the crucial roles of electronic intelligence is the identification of radar signals. In an operational environment, it is very essential to identify radar emitters whether friend or foe so that appropriate radar countermeasures can be taken against them.
O G Kakde, Pooja Jain, Preeti Gupta
semanticscholar +4 more sources

