Results 21 to 30 of about 482 (253)
Analysis of Radar Emitter Signal Sorting and Recognition Model Structure
Procedia Computer Science, 2019 Abstract Aiming at the problem that there are some defects and shortcomings of traditional radar emitter signal sorting model structure, the structure of radar signal sorting model based on intra-pulse characteristic parameters is analyzed. Although the model is more complete than the early recognition model, there are still some shortcomings in the ...
Juan Bai
exaly +2 more sources
1D-CNN-Transformer for Radar Emitter Identification and Implemented on FPGA
Remote SensingDeep 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 +2 more sources
Recognition of radar emitter signals based on SVD and AF main ridge slice
Journal of Communications and Networks, 2015 Recognition of radar emitter signals is one of core elements in radar reconnaissance systems. A novel method based on singular value decomposition (SVD) and the main ridge slice of ambiguity function (AF) is presented for attaining a higher correct recognition rate of radar emitter signals in case of low signal-to-noise ratio.
Qiang Guo, Yuning Zhao, Jian Wan
exaly +2 more sources
A Novel Method of Radar Emitter Identification Based on the Coherent Feature
Applied Sciences, 2020 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 +2 more sources
IET Radar, Sonar & Navigation, 2023 Specific emitter identification (SEI) is an emerging device authentication technology, which depends on the inherent hardware characteristics of wireless devices. By analysing the received signal, the hardware characteristics of a specific emitter can be
Kaiwen Tan +5 more
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Survey of Deep Learning for Radar Emitter Identification Based on Small Sample [PDF]
Jisuanji kexue, 2022 Traditional radar emitter identification methods can no longer meet the needs of identifying new-system radar emitters in the complicate and changeable electromagnetic environment.Deep learning methods can effectively extract the intra-pulse features of ...
SU Dan-ning, CAO Gui-tao, WANG Yan-nan, WANG Hong, REN He
doaj +1 more source
Low SNR Multi-Emitter Signal Sorting and Recognition Method Based on Low-Order Cyclic Statistics CWD Time-Frequency Images and the YOLOv5 Deep Learning Model. [PDF]
Sensors (Basel), 2022 It is difficult for traditional signal-recognition methods to effectively classify and identify multiple emitter signals in a low SNR environment. This paper proposes a multi-emitter signal-feature-sorting and recognition method based on low-order cyclic
Huang D, Yan X, Hao X, Dai J, Wang X.
europepmc +2 more sources
Radar Emitter Individual Identification Based on Parameter Optimization VMD and LightGBM [PDF]
Hangkong bingqi, 2022 In order to solve the problem of low accuracy of radar emitter individual identification in complex electromagnetic environment, a radar emitter individual identification technology based on parameter optimization VMD and LightGBM is proposed.
Xiao Yihan, Li Dongnian, Yu Xiangzhen, Song Ke
doaj +1 more source
IET Radar, Sonar & NavigationThe existing radar emitter modulation recognition methods typically assume that the data distribution across different types is balanced. But in reality, the number of signals of various kinds often follows a long‐tail distribution, leading to model ...
Gangyin Sun +4 more
doaj +2 more sources
IEEE Access, 2021 In the modern electronic warfare signal environment, multiple radar signals of high density are mixed and received, and separating them into signals for each emitter is an essential step for emitter identification. Each radar has its own pulse repetition
Jin-Woo Han, Cheong Hee Park
doaj +1 more source