Results 11 to 20 of about 926 (278)
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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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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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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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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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 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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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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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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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 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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