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
doaj +7 more sources
Recognition of Noisy Radar Emitter Signals Using a One-Dimensional Deep Residual Shrinkage Network [PDF]
Sensors, 2021 Signal features can be obscured in noisy environments, resulting in low accuracy of radar emitter signal recognition based on traditional methods. To improve the ability of learning features from noisy signals, a new radar emitter signal recognition ...
Shengli Zhang +3 more
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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
doaj +5 more sources
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
doaj +5 more sources
Radar Emitter Signal Intra-Pulse Modulation Open Set Recognition Based on Deep Neural Network
Remote Sensing, 2023 Radar emitter signal intra-pulse modulation recognition is important for modern electronic reconnaissance systems to analyze target radar systems. In the actual environment, the intra-pulse modulations of the sampled radar emitter signals contain not ...
Shibo Yuan, Peng Li, Bin Wu
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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
doaj +3 more sources
Application of Continuous Wavelet Transform and Artificial Naural Network for Automatic Radar Signal Recognition [PDF]
Sensors, 2022 This article aims to propose an algorithm for the automatic recognition of selected radar signals. The algorithm can find application in areas such as Electronic Warfare (EW), where automatic recognition of the type of intra-pulse modulation or the type ...
Marta Walenczykowska, Adam Kawalec
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An End-to-End Deep Learning Approach for State Recognition of Multifunction Radars [PDF]
Sensors, 2022 With the widespread use of multifunction radars (MFRs), it is hard for the traditional radar signal recognition technology to meet the needs of current electronic intelligence systems.
Xinsong Xu, Daping Bi, Jifei Pan
doaj +3 more sources
Radar emitter multi-label recognition based on residual network
Defence Technology, 2022 In low signal-to-noise ratio (SNR) environments, the traditional radar emitter recognition (RER) method struggles to recognize multiple radar emitter signals in parallel.
Yu Hong-hai +4 more
doaj +3 more sources