Results 1 to 10 of about 83,689 (283)
LPI Radar Waveform Recognition Based on Time-Frequency Distribution [PDF]
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 Hierarchical Classification Approach and Maximum Likelihood Estimation [PDF]
The 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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LPI Radar Waveform Recognition Based on Neural Architecture Search. [PDF]
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
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Neural Networks for Radar Waveform Recognition [PDF]
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 +3 more
openaire +3 more sources
Application research of convolutional neural network and its optimization in lightning electric field waveform recognition [PDF]
Quickly 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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Automatic LPI Radar Waveform Recognition Using CNN
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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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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Recognition of Radar Emitters with Agile Waveform Based on Hybrid Deep Neural Network and Attention Mechanism [PDF]
With the increasing complexity of the electromagnetic environment and the continuous development of radar technology, more and more modern digital programmable radars using agile waveform will appear in the future battlefield.
Y. Feng +6 more
doaj
Gesture recognition with 60GHz 802.11 waveforms [PDF]
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.
Hof, Eran +2 more
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This article aims to propose an algorithm for the automatic recognition of selected radar signals. The algorithm can find application in areas such as Electronic Warfare (EW), where automatic recognition of the type of intra-pulse modulation or the type ...
Marta Walenczykowska, Adam Kawalec
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