Deepdemod: Bpsk demodulation using deep learning over software-defined radio
In wireless communication, signal demodulation under non-ideal conditions is one of the
important research topic. In this paper, a novel non-coherent binary phase shift keying …
important research topic. In this paper, a novel non-coherent binary phase shift keying …
Enhanced Modulation Recognition Through Deep Transfer Learning in Hybrid Graph Convolutional Networks
Nowadays, wireless communication plays a pivotal role in our daily lives, encompassing
technologies such as wireless fidelity (Wi-Fi) and the internet of things (IoT). The backbone …
technologies such as wireless fidelity (Wi-Fi) and the internet of things (IoT). The backbone …
Deep Graphical and Temporal Neuro-Fuzzy Methodology for Automatic Modulation Recognition in Cognitive Wireless Big Data
X Jian, Q Wang, Y Li, A Alharbi, K Yu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the advancement of big data technology, deep learning automatic modulation
recognition (DLAMR) has undergone new improvements. Existing DLAMR methods focus …
recognition (DLAMR) has undergone new improvements. Existing DLAMR methods focus …
An efficient automatic modulation recognition using time–frequency information based on hybrid deep learning and bagging approach
Z Hazim Obaid, B Mirzaei, A Darroudi - Knowledge and Information …, 2024 - Springer
Determining the type of modulation is an important task in military communications, satellite
communications systems, and submarine communications. In this study, a new digital …
communications systems, and submarine communications. In this study, a new digital …
A novel graph neural network-based framework for automatic modulation classification in mobile environments
P Ghasemzadeh - 2023 - search.proquest.com
Automatic modulation classification (AMC) refers to a signal processing procedure through
which the modulation type and order of an observed signal are identified without any prior …
which the modulation type and order of an observed signal are identified without any prior …
When Diffusion Meets AMR: A Multi-Channel Fused Graph Transformer for Automatic Modulation Recognition under Large CFOs and SROs
R Zeng, Z Lu, J Wang, J Wang - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
As a crucial component of non-cooperative communication, automatic modulation
recognition (AMR) has received widespread attention. However, due to the limitation of …
recognition (AMR) has received widespread attention. However, due to the limitation of …
Wireless Digital Train Line for Passenger Trains–Phase 3
In an extensive third phase of a Federal Railroad Administration-funded research project
running from August 2020 through July 2022, a team at the Advanced Telecommunications …
running from August 2020 through July 2022, a team at the Advanced Telecommunications …