Results 1 to 10 of about 21,219 (156)
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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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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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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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 ...
Ming Zhang, Ming Diao, Lipeng Gao
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Application research of convolutional neural network and its optimization in lightning electric field waveform recognition [PDF]
Scientific ReportsQuickly identifying and classifying lightning waveforms is the foundation of lightning forecasting and early warning. In this paper, based on the electric field observation of the Beijing lightning location website of the Institute of Atmospheric Physics,
Caixia Wang +5 more
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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
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Gesture recognition with 60GHz 802.11 waveforms [PDF]
2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2020 Gesture recognition application over 802.11 ad/y waveforms is developed. Simultaneous gestures of slider-control and two-finger gesture for switching are detected based on Golay sequences of channel estimation fields of the packets.
Eran Hof +2 more
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Applied Sciences, 2023 Microseismic event identification is of great significance for enhancing our understanding of underground phenomena and ensuring geological safety. This paper employs a literature review approach to summarize the research progress on microseismic signal ...
Hongmei Shu, Ahmad Yahya Dawod
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Speaker Recognition from Raw Waveform with SincNet [PDF]
2018 IEEE Spoken Language Technology Workshop (SLT), 2018 In Proceedings of SLT ...
Mirco Ravanelli, Yoshua Bengio
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