Radar Emitter Signal Recognition Based on One-Dimensional Convolutional Neural Network with Attention Mechanism [PDF]
Sensors, 2020 As the real electromagnetic environment grows complex and the quantity of radar signals turns massive, traditional methods, which require a large amount of prior knowledge, are time-consuming and ineffective for radar emitter signal recognition.
Bin Wu +5 more
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Efficient FPGA Implementation of Convolutional Neural Networks and Long Short-Term Memory for Radar Emitter Signal Recognition [PDF]
SensorsIn recent years, radar emitter signal recognition has enjoyed a wide range of applications in electronic support measure systems and communication security.
Bin Wu +5 more
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Progress in Radar Emitter Signal Deinterleaving
Leida xuebao, 2022 Radar emitter signal deinterleaving is a key technology for radar signal reconnaissance and an essential part of battlefield situational awareness. This paper systematically sorts out the mainstream technology of radar emitter signal deinterleaving.
Jinping SUI, Zhen LIU, Li LIU, Xiang LI
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Few-Shot Learning for Radar Emitter Signal Recognition Based on Improved Prototypical Network
Remote Sensing, 2022 In recent years, deep learning has been widely used in radar emitter signal identification and has significantly increased recognition rates. However, with the emergence of new institutional radars and an increasingly complex electromagnetic environment,
Jing Huang +4 more
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Few-Shot Radar Emitter Signal Recognition Based on Attention-Balanced Prototypical Network
Remote Sensing, 2022 In recent years, radar emitter signal identification has been greatly developed via the utilization of deep learning and has achieved significant improvements in identification accuracy. However, with the continuous emergence of complex regime radars and
Jing Huang +4 more
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Sensors, 2022 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
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Radar emitter intrapulse signal blind sorting under modified wavelet denoising
The Journal of Engineering, 2019 With the electromagnetic environment becoming more and more complex and the analysis demand of the radar emitter intropulse signal presenting more and more urgent, a modified method of the radar emitter intrapulse signal blind sorting under wavelet ...
Xuebao Wang +5 more
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A Specific Emitter Identification System Design for Crossing Signal Modes in the Air Traffic Control Radar Beacon System and Wireless Devices [PDF]
Sensors, 2023 To improve communication stability, more wireless devices transmit multi-modal signals while operating. The term ‘modal’ refers to signal waveforms or signal types. This poses challenges to traditional specific emitter identification (SEI) systems, e.g.,
Miyi Zeng +4 more
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TR-RAGCN-AFF-RESS: A Method for Radar Emitter Signal Sorting
Remote SensingRadar emitter signal sorting (RESS) is a crucial process in contemporary electronic battlefield situation awareness. Separating pulses belonging to the same radar emitter from interleaved radar pulse sequences with a lack of prior information, high ...
Zhizhong Zhang +3 more
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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
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