Remote Sensing, 2021 The intra-pulse modulation of radar emitter signals is a key feature for analyzing radar systems. Traditional methods which require a tremendous amount of prior knowledge are insufficient to accurately classify the intra-pulse modulations. Recently, deep
Shibo Yuan, Bin Wu, Peng Li
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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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1D-CNN-Transformer for Radar Emitter Identification and Implemented on FPGA
Remote SensingDeep learning has brought great development to radar emitter identification technology. In addition, specific emitter identification (SEI), as a branch of radar emitter identification, has also benefited from it.
Xiangang Gao +3 more
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Radar emitter identification based on unintentional phase modulation on pulse characteristic [PDF]
Tongxin xuebao, 2020 Aiming at the problem of poor performance of the classification model in the case of unintentional phase modulation on pulse (UPMOP) to achieve radar specific emitter identification,a method for radar specific emitter identification with long and short ...
Xin QIN +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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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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A Specific Emitter Identification Algorithm under Zero Sample Condition Based on Metric Learning
Remote Sensing, 2021 With the development of information technology in modern military confrontation, specific emitter identification has become a hot and difficult topic in the field of electronic warfare, especially in the field of electronic reconnaissance.
Peng Man +3 more
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Avoiding Interference in Multi-Emitter Environments: A Reinforcement Learning Approach
, 2021 262265In this paper, we investigate the interference avoidance performance of a single phased-array radar in a multi-emitter environment under a partially observable Markov decision process (POMDP) model.
Ak, Serkan +3 more
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