Application of Data Particle Geometrical Divide Algorithms in the Process of Radar Signal Recognition [PDF]
Sensors, 2023 The process of recognising and classifying radar signals and their radiation sources is currently a key element of operational activities in the electromagnetic environment.
Janusz Dudczyk, Łukasz Rybak
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A Specific Emitter Identification System Design for Crossing Signal Modes in the Air Traffic Control Radar Beacon System and Wireless Devices [PDF]
Sensors, 2023 To improve communication stability, more wireless devices transmit multi-modal signals while operating. The term ‘modal’ refers to signal waveforms or signal types. This poses challenges to traditional specific emitter identification (SEI) systems, e.g.,
Miyi Zeng +4 more
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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 ...
Ivan Jordanov
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An End-to-End Deep Learning Approach for State Recognition of Multifunction Radars [PDF]
Sensors, 2022 With the widespread use of multifunction radars (MFRs), it is hard for the traditional radar signal recognition technology to meet the needs of current electronic intelligence systems.
Xinsong Xu, Daping Bi, Jifei Pan
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Robust Radar Emitter Recognition Based on the Three-Dimensional Distribution Feature and Transfer Learning [PDF]
Sensors, 2016 Zhutian Yang, Wei Qiu
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Survey of Deep Learning for Radar Emitter Identification Based on Small Sample [PDF]
Jisuanji kexue, 2022 Traditional radar emitter identification methods can no longer meet the needs of identifying new-system radar emitters in the complicate and changeable electromagnetic environment.Deep learning methods can effectively extract the intra-pulse features of ...
SU Dan-ning, CAO Gui-tao, WANG Yan-nan, WANG Hong, REN He
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Radar Emitter Individual Identification Based on Parameter Optimization VMD and LightGBM [PDF]
Hangkong bingqi, 2022 In order to solve the problem of low accuracy of radar emitter individual identification in complex electromagnetic environment, a radar emitter individual identification technology based on parameter optimization VMD and LightGBM is proposed.
Xiao Yihan, Li Dongnian, Yu Xiangzhen, Song Ke
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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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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 Knowledge Graph-Driven CNN for Radar Emitter Identification
Remote Sensing, 2023 In recent years, the rapid development of deep learning technology has brought new opportunities for specific emitter identification and has greatly improved the performance of radar emitter identification.
Yingchao Chen +5 more
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