Results 1 to 10 of about 1,363 (214)
LPI Radar Waveform Recognition Based on Time-Frequency Distribution [PDF]
Sensors, 2016 In this paper, an automatic radar waveform recognition system in a high noise environment is proposed. Signal waveform recognition techniques are widely applied in the field of cognitive radio, spectrum management and radar applications, etc. We devise a
Ming Zhang, Lutao Liu, Ming Diao
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LPI Radar Waveform Recognition Based on Features from Multiple Images [PDF]
Sensors, 2020 Detecting and classifying the modulation type of the intercepted noisy LPI (low probability of intercept) radar signals in real-time is a necessary survival technique in the electronic intelligence systems.
Zhiyuan Ma +3 more
doaj +7 more sources
Radar Waveform Recognition With ConvNeXt and Focal Loss [PDF]
IEEE AccessA method of automatic recognition of radar waves based on time-frequency analysis (TFA) and ConvNeXt model is proposed in the paper. The method aims to address the challenges of feature extraction difficulty and low recognition correctness in complex ...
Liping Luo +3 more
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MIMO Radar Adaptive Waveform Design for Extended Target Recognition [PDF]
International Journal of Distributed Sensor Networks, 2015 The problems of multiple-input multiple-output (MIMO) radar adaptive waveform design in additive white Gaussian noise channels and multitarget recognition based on sequential likelihood ratio test are jointly addressed in this paper.
Lulu Wang +3 more
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Neural Networks for Radar Waveform Recognition [PDF]
Symmetry, 2017 For passive radar detection system, radar waveform recognition is an important research area. In this paper, we explore an automatic radar waveform recognition system to detect, track and locate the low probability of intercept (LPI) radars. The system can classify (but not identify) 12 kinds of signals, including binary phase shift keying (BPSK ...
Lipeng Gao, Ming Diao, Ming Zhang
exaly +4 more sources
A radar waveform recognition method based on ambiguity function generative adversarial network data enhancement under the condition of small samples [PDF]
IET Radar, Sonar & Navigation, 2023 This study proposes a small sample recognition method for radar waveforms based on data enhancement of ambiguity function generative adversarial networks (AFGAN) to address the issue of low recognition rate and unbalanced class recognition rate.
Haijun Wang +7 more
doaj +3 more sources
Radar Waveform Recognition Based on Multiple Autocorrelation Images [PDF]
IEEE Access, 2019 Radar signal waveform recognition, as a key component of radar target recognition, has always been a research topic of great concern in the field of electronic countermeasures. In this paper, aiming at the contradiction between improving recognition rate
Zhi Huang, Zhiyuan Ma, Gaoming Huang
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LPI Radar Waveform Recognition Based on Multi-Resolution Deep Feature Fusion [PDF]
IEEE Access, 2021 Deep neural networks are used as effective methods for the Low Probability of Intercept (LPI) radar waveform recognition. However, existing models' performance degrades seriously at low Signal-to-Noise Ratios (SNRs) because the effective features ...
Xue Ni +4 more
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Automatic LPI Radar Waveform Recognition Using CNN
IEEE Access, 2018 Detecting and classifying the modulation scheme of the intercepted noisy low probability of intercept (LPI) radar signals in real time is a necessary survival technique required in the electronic warfare systems. Therefore, LPI radar waveform recognition
Seung-Hyun Kong +3 more
doaj +4 more sources
LPI Radar Waveform Recognition Based on Neural Architecture Search. [PDF]
Comput Intell Neurosci, 2022 In order to reach the intelligent recognition, the deep learning classifiers adopted by radar waveform are normally trained with transfer learning, where the pretrained convolutional neural network on an external large-scale classification dataset (e.g., ImageNet) is used as the backbone.
Ma Z +5 more
europepmc +4 more sources