Results 1 to 10 of about 22,637 (154)

LPI Radar Waveform Recognition Based on Time-Frequency Distribution [PDF]

open access: yesSensors, 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
doaj   +4 more sources

Radar Waveform Recognition Based on Multiple Autocorrelation Images [PDF]

open access: yesIEEE 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
doaj   +4 more sources

Radar Waveform Recognition With ConvNeXt and Focal Loss

open access: yesIEEE Access
A 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
doaj   +4 more sources

LPI Radar Waveform Recognition Based on Hierarchical Classification Approach and Maximum Likelihood Estimation [PDF]

open access: yesEntropy
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
doaj   +2 more sources

Neural Networks for Radar Waveform Recognition [PDF]

open access: yesSymmetry, 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 ...
Lipeng Gao, Ming Diao, Ming Zhang
exaly   +2 more sources

Application research of convolutional neural network and its optimization in lightning electric field waveform recognition [PDF]

open access: yesScientific Reports
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
doaj   +2 more sources

A radar waveform recognition method based on ambiguity function generative adversarial network data enhancement under the condition of small samples

open access: yesIET 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
doaj   +2 more sources

Lightweight and Robust Radar Waveform Recognition Based on RepNRS-LPI-Net [PDF]

open access: yesSensors
To 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

Automatic LPI Radar Waveform Recognition Using CNN

open access: yesIEEE 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
doaj   +2 more sources

Gesture recognition with 60GHz 802.11 waveforms [PDF]

open access: yes2020 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
openaire   +2 more sources

Home - About - Disclaimer - Privacy