Results 11 to 20 of about 619,289 (184)
, 2020 The purpose of low probability of intercept (LPI) radar is, on top of the standard requirements on a radar, to remain undetected by hostile electronic warfare (EW) systems. This can be achieved primarily by reducing the amount of radiated power in any given direction at all times and is done by transmitting longer modulated pulses that can then be ...
Sjöberg, Andreas
core +5 more sources
An Investigation of LPI Radar Waveforms Classification in RoF Channels [PDF]
IEEE Access, 2019 Intensive research has been developed to either design or classify low probability of intercept (LPI) radar signals. These types of signals are used in different sensitive electronic warfare applications such as electronic support, electronic attack, and
Turki Alrubeaan +5 more
doaj +2 more sources
LPI Radar Signals Modulation Recognition Based on ACDCA-ResNeXt
IEEE Access, 2023 For low probability of intercept (LPI) radar waveform identification accuracy (ACC) problem at low Signal-to-Noise Ratios (SNRs), an approach based on time-frequency analysis (TFA) and Asymmetric Dilated Convolution Coordinate Attention Residual networks
Xudong Wang +5 more
doaj +2 more sources
Deep Learning Approach to LPI Radar Recognition
2019 IEEE Radar Conference (RadarConf), 2019 In this study, an advanced automatic low probability of intercept (LPI) radar recognition technique (LWRT) that includes both LPI radar signal classification and parameter extraction is proposed. It is shown with Monte Carlo simulation that, even without the unrealistic assumptions used in the previous studies, the proposed LWRT achieves classification
L. M. Hoang, M. J. Kim, S.-H. Kong
openaire +2 more sources
LPI Optimization Framework for Radar Network Based on Minimum Mean-Square Error Estimation
Entropy, 2017 This paper presents a novel low probability of intercept (LPI) optimization framework in radar network by minimizing the Schleher intercept factor based on minimum mean-square error (MMSE) estimation.
Fei Wang, Jianjiang Zhou, Ji She
exaly +3 more sources
Automatic LPI Radar Waveform Recognition Using CNN
IEEE 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
2007 IEEE 15th Signal Processing and Communications Applications, 2007 Low Probability of Intercept (LPI) Radar signals have the property of wide bandwidth, low peak power to make them difflcult to be detected by Electronic Support Measures (ESM) receivers. In this study, the detection performances of LPI Radar signals with Wigner-Ville Distributions are examined by treating each distribution as an image.
Engin Kocaadam, Yacup Ozkcazanc
openaire +2 more sources
Lightweight and Robust Radar Waveform Recognition Based on RepNRS-LPI-Net. [PDF]
Sensors (Basel)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 ...
Liao T, Hu J.
europepmc +2 more sources
On a Closer Look of a Doppler Tolerant Noise Radar Waveform in Surveillance Applications. [PDF]
Sensors (Basel)The prevalence of Low Probability of Interception (LPI) and Low Probability of Exploitation (LPE) radars in contemporary Electronic Warfare (EW) presents an ongoing challenge to defense mechanisms, compelling constant advances in protective strategies ...
Barbosa M +3 more
europepmc +2 more sources
Cognitive MIMO Frequency Diverse Array Radar with High LPI Performance [PDF]
International Journal of Antennas and Propagation, 2016 Frequency diverse array (FDA) has its unique advantage in realizing low probability of intercept (LPI) technology for its dependent beam pattern. In this paper, we proposed a cognitive radar based on the frequency diverse array multiple-input multiple ...
Ling Huang +3 more
doaj +2 more sources