Semantic learning for analysis of overlapping LPI radar signals
The increasingly complex radio environment may cause the received low probability of
intercept (LPI) radar signals to overlap in time–frequency domains. Analyzing overlapping …
intercept (LPI) radar signals to overlap in time–frequency domains. Analyzing overlapping …
Active jamming mitigation for short-range detection system
K Chen, J Zhang, S Chen, S Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The emergence of active jamming technology has led to a surge of interest in jamming
suppression. This work proposes a one-dimensional adaptive multi-scale residual …
suppression. This work proposes a one-dimensional adaptive multi-scale residual …
Modulation Recognition of Low-SNR UAV Radar Signals Based on Bispectral Slices and GA-BP Neural Network
In this paper, we address the challenge of low recognition rates in existing methods for radar
signals from unmanned aerial vehicles (UAV) with low signal-to-noise ratios (SNRs). To …
signals from unmanned aerial vehicles (UAV) with low signal-to-noise ratios (SNRs). To …
Recognition and Estimation for Frequency-Modulated Continuous-Wave Radars in Unknown and Complex Spectrum Environments
K Chen, J Zhang, S Chen, S Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The recognition and estimation of frequency-modulated continuous-wave (FMCW) radar
signals are critical for both military electronic countermeasures and civilian autonomous …
signals are critical for both military electronic countermeasures and civilian autonomous …
Application of wavelet scattering network and ensemble learning on deception jamming recognition for ultra-wideband detectors
X Wang, S Chen, Y Zhu, S Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Ultra-wideband (UWB) radio technique, due to its potential applications and great detection
ability, is vulnerable to electromagnetic interference that cannot be ignored. With the …
ability, is vulnerable to electromagnetic interference that cannot be ignored. With the …
Deep metric learning for robust radar signal recognition
K Chen, J Zhang, S Chen, S Zhang - Digital Signal Processing, 2023 - Elsevier
Signal recognition technology is a currently active area in both civilian and military
applications. Recently, deep learning has aroused extensive attempts in radar signal …
applications. Recently, deep learning has aroused extensive attempts in radar signal …
Intra-pulse modulation recognition of radar signals based on multi-feature random matching fusion network
Y Liao, F Jiang, J Wang - The Journal of Supercomputing, 2023 - Springer
Intra-pulse modulation recognition of radar signals plays an important role in the field of
electronic warfare. In this paper, a multi-feature random matching fusion (MFRMF) network is …
electronic warfare. In this paper, a multi-feature random matching fusion (MFRMF) network is …
ShuffleFormer: An efficient shuffle meta framework for automatic modulation classification
Automatic modulation classification (AMC) plays an essential and fundamental part in
wireless communication systems, which can greatly enhance the efficiency of spectrum …
wireless communication systems, which can greatly enhance the efficiency of spectrum …
Multi-angle recognition of vehicles based on carrier-free UWB sensor and deep residual shrinkage learning
L Zhu, Y Sun, S Zhang - IEEE Microwave and Wireless …, 2022 - ieeexplore.ieee.org
Carrier-free ultra-wideband impulse radars are increasingly used in target detection due to
their high resolution and strong interference capabilities. This letter designs a deep residual …
their high resolution and strong interference capabilities. This letter designs a deep residual …
Research on modulation recognition method of multi‐component radar signals based on deep convolution neural network
C Wan, W Si, Z Deng - IET Radar, Sonar & Navigation, 2023 - Wiley Online Library
Modulation recognition of single‐component radar signals has been widely studied in the
fewer years. Meanwhile, as the electromagnetic environment in the actual battlefields is ever …
fewer years. Meanwhile, as the electromagnetic environment in the actual battlefields is ever …