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
doaj +3 more sources
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 ...
Xin Yu, Qiang Guo, Jian Wan
exaly +2 more sources
Lightweight and Robust Radar Waveform Recognition Based on RepNRS-LPI-Net [PDF]
SensorsTo address the degradation of low-probability-of-intercept (LPI) radar waveform recognition caused by noise dispersion and the masking of modulation-dependent structures in low-SNR Choi–Williams distribution (CWD) images, this paper proposes RepNRS-LPI ...
Tianyu Liao, Jiwei Hu
doaj +2 more sources
Jamming Recognition Based on Adaptive Feature-Focusing Convolutional Neural Network for Agile Cognitive Radar [PDF]
SensorsWith the advancement of cognitive radar, applying deep neural networks to radar jamming recognition has become an indispensable research direction.
Jialei Liu +5 more
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj