Results 11 to 20 of about 11,437 (192)
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 +3 more
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LPI Radar Waveform Recognition Based on CNN and TPOT [PDF]
Symmetry, 2019 The electronic reconnaissance system is the operational guarantee and premise of electronic warfare. It is an important tool for intercepting radar signals and providing intelligence support for sensing the battlefield situation. In this paper, a radar waveform automatic identification system for detecting, tracking and locating low probability ...
Jian Wan, Xin Yu, Qiang Guo
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Automatic LPI radar waveform recognition of overlapping signals based on vision language model [PDF]
Scientific ReportsLow probability of intercept (LPI) microwave waveforms are commonly utilized in multiple radar systems. Identifying precisely the modulation formats of LPI waveform is of importance in complex electromagnetic environment.
Pengkun Yang +4 more
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Georadar Waveform Characterization of Tunnel Lining Rear Defects and Joint Detection Method in Time and Frequency Domains [PDF]
SensorsAiming at the signal interference and feature recognition difficulties existing in the detection of concealed defects such as cracks and voids behind the tunnel lining, this study carried out a 1:1 reinforced concrete–steel arch frame composite lining ...
Jian Liu +7 more
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Smart furniture using radar technology for cardiac health monitoring [PDF]
Scientific ReportsThe integration of radar technology into smart furniture represents a practical approach to health monitoring, circumventing the concerns regarding user convenience and privacy often encountered by conventional smart home systems.
Ali Gharamohammadi +12 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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Deep-Learning for Radar: A Survey
IEEE Access, 2021 A comprehensive and well-structured review on the application of deep learning (DL) based algorithms, such as convolutional neural networks (CNN) and long-short term memory (LSTM), in radar signal processing is given.
Zhe Geng +3 more
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Radar waveform design and processing using joint amplitude‐frequency‐phase modulation
IET Radar, Sonar & Navigation, 2023 Radar waveform design is facing severe challenges with the development of radar countermeasure technology, such as easy access to intra‐pulse modulation property and poor anti‐recognition capabilities.
Tiehua Zhao +4 more
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Waveform Recognition in Pulse Compression Radar Systems [PDF]
2005 IEEE Workshop on Machine Learning for Signal Processing, 2006 In this paper a system for recognizing pulse compression radar waveforms is introduced. The waveforms considered in this study are the linear frequency modulation (LFM), Costas codes, binary phase codes, and the Frank, P1, P2, P3, and P4 codes. A feature vector based on instantaneous signal properties, second- and higher-order statistics, and time ...
J. Lunden, L. Terho, V. Koivunen
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Recognition of Radar Emitters with Agile Waveform Based on Hybrid Deep Neural Network and Attention Mechanism [PDF]
Radioengineering, 2021 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
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