Radar Emitter Recognition Based on the Energy Cumulant of Short Time Fourier Transform and Reinforced Deep Belief Network [PDF]
Sensors, 2018 To cope with the complex electromagnetic environment and varied signal styles, a novel method based on the energy cumulant of short time Fourier transform and reinforced deep belief network is proposed to gain a higher correct recognition rate for radar ...
Xuebao Wang +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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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
doaj +4 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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Radar Emitter Recognition Based on Parameter Set Clustering and Classification
Remote Sensing, 2022 An important task in the Electronic Support Measures (ESM) field is analyzing and recognizing radar signals. Feature extraction is one of the primary key elements of radar emitter recognition algorithms. Current research mainly finds statistical features
Tao Xu +3 more
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Radar Emitter Recognition Based on Spiking Neural Networks
Remote SensingEfficient and effective radar emitter recognition is critical for electronic support measurement (ESM) systems. However, in complex electromagnetic environments, intercepted pulse trains generally contain substantial data noise, including spurious and ...
Zhenghao Luo +3 more
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Hybrid Radar Emitter Recognition Based on Rough k-Means Classifier and Relevance Vector Machine [PDF]
Sensors, 2013 Due to the increasing complexity of electromagnetic signals, there exists a significant challenge for recognizing radar emitter signals. In this paper, a hybrid recognition approach is presented that classifies radar emitter signals by exploiting the ...
Hongjian Sun +4 more
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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
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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
doaj +3 more sources