A survey on deep learning techniques in wireless signal recognition
X Li, F Dong, S Zhang, W Guo - Wireless Communications and …, 2019 - Wiley Online Library
Wireless signal recognition plays an important role in cognitive radio, which promises a
broad prospect in spectrum monitoring and management with the coming applications for …
broad prospect in spectrum monitoring and management with the coming applications for …
Robust automated VHF modulation recognition based on deep convolutional neural networks
R Li, L Li, S Yang, S Li - IEEE Communications Letters, 2018 - ieeexplore.ieee.org
This letter proposes a novel modulation recognition algorithm for very high frequency (VHF)
radio signals, which is based on antinoise processing and deep sparse-filtering …
radio signals, which is based on antinoise processing and deep sparse-filtering …
Performance comparisons between machine learning and analytical models for quality of transmission estimation in wavelength-division-multiplexed systems
We conduct a comprehensive comparative study of quality-of-transmission (QoT) estimation
for wavelength-division-multiplexed systems using artificial neural network (ANN)-based …
for wavelength-division-multiplexed systems using artificial neural network (ANN)-based …
Temperature extraction in Brillouin optical time-domain analysis sensors using principal component analysis based pattern recognition
We propose and experimentally demonstrate the use of principal component analysis (PCA)
based pattern recognition to extract temperature distribution from the measured Brillouin …
based pattern recognition to extract temperature distribution from the measured Brillouin …
A basic bio-inspired camouflage communication frame design and applications for secure underwater communication among military underwater platforms
Many marine mammal species, such as different kinds of whales and dolphins, live together
in groups. Although having no nice eyesight, they can accomplish cooperative foraging, inter …
in groups. Although having no nice eyesight, they can accomplish cooperative foraging, inter …
Experimental demonstration of simultaneous modulation format/symbol rate identification and optical performance monitoring for coherent optical systems
Transmission systems that use advanced complex modulation schemes and digital coherent
receivers, have been driving the growth of optical communication networks for nearly a …
receivers, have been driving the growth of optical communication networks for nearly a …
Dual-determination of modulation types and signal-to-noise ratios using 2D-ASIQH features for next generation of wireless communication systems
TA Almohamad, MFM Salleh, MN Mahmud… - IEEE …, 2021 - ieeexplore.ieee.org
In order to pursue rapid development of the new generation of wireless communication
systems and elevate their security and efficiency, this paper proposes a novel scheme for …
systems and elevate their security and efficiency, this paper proposes a novel scheme for …
Joint modulation format/bit‐rate classification and signal‐to‐noise ratio estimation in multipath fading channels using deep machine learning
A novel algorithm for simultaneous modulation format/bit‐rate classification and non‐data‐
aided (NDA) signal‐to‐noise ratio (SNR) estimation in multipath fading channels by …
aided (NDA) signal‐to‐noise ratio (SNR) estimation in multipath fading channels by …
Algorithm for automatic recognition of PSK and QAM with unique classifier based on features and threshold levels
AK Ali, E Erçelebi - ISA transactions, 2020 - Elsevier
In this paper, we present a unique modulation classification method that is based on
determining an attractive relation between higher-order cumulants (HOCs) using a decision …
determining an attractive relation between higher-order cumulants (HOCs) using a decision …
Automatic digital modulation classification based on curriculum learning
M Zhang, Z Yu, H Wang, H Qin, W Zhao, Y Liu - Applied Sciences, 2019 - mdpi.com
Neural network shows great potential in modulation classification because of its excellent
accuracy and achievability but overfitting and memorizing data noise often happen in …
accuracy and achievability but overfitting and memorizing data noise often happen in …