TLN-LSTM: an automatic modulation recognition classifier based on a two-layer nested structure of LSTM network for extremely long signal sequences
Purpose Automatic modulation recognition (AMR) is a challenging problem in intelligent
communication systems and has wide application prospects. At present, although many …
communication systems and has wide application prospects. At present, although many …
A Cross-Scale Embedding Based Fusion Transformer for Automatic Modulation Recognition
C Zhao, J Chen, X Huang, Z Wu - IEEE Communications …, 2023 - ieeexplore.ieee.org
A novel Cross-Scale Embedding Based Fusion Transformer, called CE-FuFormer for
automatic modulation recognition was proposed in this letter. In CE-FuFormer, a cross-scale …
automatic modulation recognition was proposed in this letter. In CE-FuFormer, a cross-scale …
电磁频谱空间射频机器学习及其应用综述.
周福辉， 张子彤， 丁锐， 徐铭， 袁璐… - … /Shu Ju Cai Ji Yu Chu …, 2022 - search.ebscohost.com
针对电磁频谱空间中频谱资源日益稀缺的问题, 新兴的射频机器学习旨在结合电磁频谱领域知识
, 设计专门的机器学习模型, 具有快速, 小样本甚至零样本, 可解释性和高性能的优势 …
, 设计专门的机器学习模型, 具有快速, 小样本甚至零样本, 可解释性和高性能的优势 …
[HTML][HTML] Efficient Modulation Recognition by Predictive Correction and Double GRUs via a Lightweight Framework
B Guo, Y Liu, H Zhou, W Yan, S Zhang - Applied Sciences, 2024 - mdpi.com
Automatic modulation recognition (AMR) provides excellent performance advantages over
conventional algorithms and plays a key role in modern communication. However, a general …
conventional algorithms and plays a key role in modern communication. However, a general …
MSGNet: A Multi-feature Lightweight Learning Network for Automatic Modulation Recognition
Z Zhu, N Zhou, Z Wang, J Liang… - IEEE Communications …, 2024 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) has significant applications in communication
system optimization, spectrum management, signal identification and classification, and …
system optimization, spectrum management, signal identification and classification, and …
Analysis of various neural network architectures for automatic modulation techniques
Y Motwani, P Saraswat, S Aggarwal… - 2021 Innovations in …, 2021 - ieeexplore.ieee.org
Wireless Communication plays a paramount role in modern communication systems.
Modulation classification as a phase in the middle of demodulation and signal detection, is …
Modulation classification as a phase in the middle of demodulation and signal detection, is …
Deep Learning based CP-OFDM Signal Classification with Data Augmentation
J Combo, A Tato, JJ Escudero-Garzás… - … Sea Conference on …, 2022 - ieeexplore.ieee.org
Nowadays, most Radio Access Technologies (RATs) employ one or other variants of
Orthogonal Frequency Division Multiplexing (OFDM) modulation. This includes 4G, 5G, WiFi …
Orthogonal Frequency Division Multiplexing (OFDM) modulation. This includes 4G, 5G, WiFi …
A Framework for Wireless Technology Classification using Crowdsensing Platforms
A Scalingi, D Giustiniano… - … -IEEE Conference on …, 2023 - ieeexplore.ieee.org
Spectrum crowdsensing systems do not provide labeled data near real-time yet. We propose
a framework that addresses this challenge and relies solely on Power Spectrum Density …
a framework that addresses this challenge and relies solely on Power Spectrum Density …
Adaptive Multi-Dimensional Shrinkage Block for Automatic Modulation Recognition
T Wei, Z Li, D Bi, Z Shao, J Gao - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
Low Signal-to-Noise Ratio (SNR) conditions pose significant challenges in Automatic
Modulation Recognition (AMR) tasks. In this letter, we propose an innovative Multi …
Modulation Recognition (AMR) tasks. In this letter, we propose an innovative Multi …
MAMCA--Optimal on Accuracy and Efficiency for Automatic Modulation Classification with Extended Signal Length
Y Zhang, Z Zhou, Y Cao, G Li, X Li - arXiv preprint arXiv:2405.11263, 2024 - arxiv.org
With the rapid growth of the Internet of Things ecosystem, Automatic Modulation
Classification (AMC) has become increasingly paramount. However, extended signal …
Classification (AMC) has become increasingly paramount. However, extended signal …