Results 11 to 20 of about 1,098 (282)
A Denoising Method Based on DDPM for Radar Emitter Signal Intra-Pulse Modulation Classification
Remote SensingAccurately classifying the intra-pulse modulations of radar emitter signals is important for radar systems and can provide necessary information for relevant military command strategy and decision making.
Shibo Yuan +4 more
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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 Novel Batch Streaming Pipeline for Radar Emitter Classification
Applied Sciences, 2023 In electronic warfare, radar emitter classification plays a crucial role in identifying threats in complex radar signal environments. Traditionally, this has been achieved using heuristic-based methods and handcrafted features.
Dong Hyun Park +4 more
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Electronic radar signal recognition based on wavelet transform and convolution neural network
Alexandria Engineering Journal, 2022 With the continuous use of various new radar systems and complex radar systems, the electromagnetic environment is extremely deteriorated. The traditional emitter recognition methods have been difficult to meet the requirements of recognition performance
Xuezhong Wang
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Hybrid Radar Emitter Recognition Based on Rough k-Means Classifier and Relevance Vector Machine
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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A Rapid Accurate Recognition System for Radar Emitter Signals [PDF]
Electronics, 2019 Radar signal recognition is an indispensable part of an electronic countermeasure system. In order to solve the problem that the current techniques have, which is a low recognition rate and a slow recognition speed for radar signals, a rapid accurate recognition system is proposed, especially for when multiple signals arrive at the receiver.
Jingpeng Gao +3 more
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Remote Sensing, 2022 Intra-pulse modulation classification of radar emitter signals is beneficial in analyzing radar systems. Recently, convolutional neural networks (CNNs) have been used in classification of intra-pulse modulation of radar emitter signals, and the results ...
Shibo Yuan +4 more
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Recognition of Noisy Radar Emitter Signals Using a One-Dimensional Deep Residual Shrinkage Network
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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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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Radar Emitter Identification with Multi-View Adaptive Fusion Network (MAFN)
Remote Sensing, 2023 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
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