Results 11 to 20 of about 482 (253)
Specific Radar Recognition Based on Characteristics of Emitted Radio Waveforms Using Convolutional Neural Networks [PDF]
Sensors, 2021 With the increasing complexity of the electromagnetic environment and continuous development of radar technology we can expect a large number of modern radars using agile waveforms to appear on the battlefield in the near future.
Jan Matuszewski, Dymitr Pietrow
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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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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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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 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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Radar signals recognition based on attention and denoising residual network [PDF]
ITM Web of Conferences, 2022 To solve the problem that complex radar emitter signals are difficult to identify under low signal-to-noise ratio, this paper proposes a novel radar signal recognition method based on an improved deep residual network.
Ding Jiajun, Yan Yunyang, Liu Yian
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Radar Emitter Signals Recognition and Classification with Feedforward Networks
Procedia Computer Science, 2013 AbstractA possible application of neural networks for timely and reliable recognition of radar signal emitters is investigated. In particular, a large data set of intercepted generic radar signal samples is used for investigating and evaluating several neural network topologies, training parameters, input and output coding and machine learning ...
Petrov, Nedyalko +2 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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Electronics, 2022 Radar emitter signal recognition under noisy background is one of the focus areas in research on radar signal processing. In this study, the soft thresholding function is embedded into deep learning network models as a novel nonlinear activation function, achieving advanced radar emitter signal recognition results. Specifically, an embedded sub-network
Jifei Pan +4 more
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Radar Emitter Signal Identification Based on Weighted Normalized Singular-value Decomposition
Leida xuebao, 2019 With the continuous advancement of modern technology, more types of radar and related technologies are continuously being developed, and the identification of radar emitter signals has gradually become a very important research field.
YUAN Ba, YAO Ping, ZHENG Tianyao
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