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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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 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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Sensors, 2022 In this study, a feature analysis and extraction method was proposed for specific emitter identification based on the signal generation mechanisms of radar transmitters. The generation of radar signals by radar transmitters was analyzed theoretically and
Yilin Liu +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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An Online Multisensor Data Fusion Framework for Radar Emitter Classification [PDF]
International Journal of Aerospace Engineering, 2016 Radar emitter classification is a special application of data clustering for classifying unknown radar emitters in airborne electronic support system.
Dongqing Zhou +3 more
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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 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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Deep Learning Techniques in Radar Emitter Identification
Defence Science Journal, 2023 In the field of electronic warfare (EW), one of the crucial roles of electronic intelligence is the identification of radar signals. In an operational environment, it is very essential to identify radar emitters whether friend or foe so that appropriate radar countermeasures can be taken against them.
O G Kakde, Pooja Jain, Preeti Gupta
openaire +3 more sources
Radar Emitter Identification under Transfer Learning and Online Learning
Information, 2019 At present, there are two main problems in the commonly used radar emitter identification methods. First, when the distribution of training data and testing data is quite different, the identification accuracy is low.
Yuntian Feng +5 more
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