Results 31 to 40 of about 350 (145)
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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Radar Emitter Recognition based on Transfer Learning
DEStech Transactions on Computer Science and Engineering, 2018 Radar emitter identification based on machine learning technology at present mostly assumes that the test set is identically distributed with and the training set, which causes the classification effect is not well when the database samples and the true distribution of the signals are biased. Thus, the theory of transfer learning is introduced into the
Weigang Zhu +3 more
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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 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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Radar Emitter Signal Recognition Based on EMD and Neural Network
Journal of Computers, 2012 Radar emitter signal (RES) recognition is the important content in radar reconnaissance and signal processing. In order to study the problem of RES recognition, and to improve the RES recognition rate of the electronic warfare equipment, the empirical mode decomposition (EMD) theory and wavelet packet (WP) are introduced into RES feature extraction.
Bin Zhu, Weidong Jin
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Recognition of Unknown Radar Emitters With Machine Learning [PDF]
IEEE Transactions on Aerospace and Electronic Systems, 2021 Sabine Apfeld, Alexander Charlish
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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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Automatic modulation classification of noise‐like radar intrapulse signals using cascade classifier
ETRI Journal, 2021 Automatic modulation classification is essential in radar emitter identification. We propose a cascade classifier by combining a support vector machine (SVM) and convolutional neural network (CNN), considering that noise might be taken as radar signals ...
Xianpeng Meng +4 more
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Multi-feature radar signal modulation recognition based on improved PSO algorithm
The Journal of Engineering, 2019 In order to solve the problem that radar emitter signal modulation recognition under low signal-to-noise ratio (SNR) has difficulty in selecting the parameters of the classifier and the problem of low recognition rate caused by the improper selection of ...
Jing-Peng Gao +4 more
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Radar Emitter Recognition Based on PSO-BP Network
AASRI Procedia, 2012 Abstract According to the problem of emitter characteristic parameters are showed by interval and uneasy to identify, an emitter fusion recognition method based on the PSO-BP neural network is proposed. The method train the network by training samples which are reasonable structured according to the distribution in the interval, so as to determine ...
Zhi-fu, Yu, Jun-wu, Li, Kai, Liu
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