Results 1 to 10 of about 11,437 (192)
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
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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
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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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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
Unknown Radar Waveform Recognition Based on Transferred Deep Learning [PDF]
IEEE Access, 2020 Radar signals are emerging constantly for urgent task because of its complex patterns and rich working modes. For some radar waveforms with known modulation methods, they can be identified by correlation between radar prior knowledge and the received ...
Anni Lin +4 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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Radar Waveform Recognition With ConvNeXt and Focal Loss
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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LPI Radar Waveform Recognition Based on Hierarchical Classification Approach and Maximum Likelihood Estimation [PDF]
EntropyThe importance of information gathering is emphasized to minimize casualties and economic losses in warfare. Through electronic warfare, which utilizes electromagnetic waves, it is possible to discern the enemy’s intentions and respond accordingly ...
Kiwon Rhee +3 more
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