A semi-supervised modulation identification in MIMO systems: A deep learning strategy
Accurate modulation identification of the received signals is undoubtedly a central
component in multiple-input multiple-output (MIMO) communication systems, facilitating the …
component in multiple-input multiple-output (MIMO) communication systems, facilitating the …
Automatic modulation classification using bimodal parallel multichannel deep learning framework for spatial multiplexing MIMO system
NK Pathak, V Bajaj - Physical Communication, 2023 - Elsevier
In recent years, automatic modulation classification (AMC) has proved its importance for the
military as well as civil applications and deep learning (DL) based AMC has attracted wide …
military as well as civil applications and deep learning (DL) based AMC has attracted wide …
A Powerful Joint Modulation and STBC Identification Algorithm for Multiuser Uplink SC-FDMA Transmissions
Owing to the rapid development and broad adoption of multiple antenna communication
systems over the past few years, space-time block coding (STBC) identification has emerged …
systems over the past few years, space-time block coding (STBC) identification has emerged …
USRP RIO-based testbed for real-time blind digital modulation recognition in MIMO systems
HB Thameur, I Dayoub… - IEEE Communications …, 2022 - ieeexplore.ieee.org
Modulation recognition is one of the key elements in the cognitive radio (CR) technology.
Chiefly, automatic modulation recognition (AMR) is a challenging task in such systems. It …
Chiefly, automatic modulation recognition (AMR) is a challenging task in such systems. It …
Automatic feature extraction using deep learning for automatic modulation classification implemented with Python
NK Pathak, V Bajaj - Signal Processing with Python: A practical …, 2024 - iopscience.iop.org
The radio spectrum has become extremely packed due to an immense spike in user
terminals as wireless technology has grown rapidly. Thus, giving reliable and quality …
terminals as wireless technology has grown rapidly. Thus, giving reliable and quality …
Modulation Classification for MIMO Systems in the Presence of Non-Gaussian Noise
M Liu, Y Wang, Y Chen - GLOBECOM 2022-2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Distribution test, a method to evaluate the goodness-of-fit, has been applied to automatic
modulation clas-sification (AMC) in recent years. It compares the empirical cumulative …
modulation clas-sification (AMC) in recent years. It compares the empirical cumulative …
[PDF][PDF] A Semi-Supervised Modulation Identification in MIMO Systems: A Deep Learning Strategy
Accurate modulation identification of the received signals is undoubtedly a central
component in multiple-input multiple-output (MIMO) communication systems, facilitating the …
component in multiple-input multiple-output (MIMO) communication systems, facilitating the …