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Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors

https://doi.org/10.1109/tccn.2018.2835460
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Convolutional Radio Modulation Recognition Networks
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Deep learning
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Survey of automatic modulation classification techniques: classical approaches and new trends
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Signal interception: a unifying theoretical framework for feature detection
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Statistical tests for presence of cyclostationarity
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Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence
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A new approach to signal classification using spectral correlation and neural networks
inferredcites →https://doi.org/10.1109/dyspan.2015.7343893openalex-snapshot
TxMiner: Identifying transmitters in real-world spectrum measurements
inferredcites →https://doi.org/10.1109/dyspan.2017.7920754openalex-snapshot
Deep architectures for modulation recognition
inferredcites →https://doi.org/10.1109/glocom.2007.771openalex-snapshot
OFDM Signal Identification and Transmission Parameter Estimation for Cognitive Radio Applications
inferredcites →https://doi.org/10.1109/mcom.2017.1700200openalex-snapshot
Electrosense: Open and Big Spectrum Data
inferredcites →https://doi.org/10.1109/medhocnet.2014.6849102openalex-snapshot
A machine learning approach to QoE-based video admission control and resource allocation in wireless systems
inferredcites →https://doi.org/10.1109/tcom.1982.1095393openalex-snapshot
The Power Spectral Density of Digital Modulations Transmitted Over Nonlinear Channels
inferredcites →https://doi.org/10.1109/tcom.1987.1096816openalex-snapshot
Spectral Correlation of Modulated Signals: Part II--Digital Modulation
inferredcites →https://doi.org/10.1109/tcom.1987.1096820openalex-snapshot
Spectral Correlation of Modulated Signals: Part I--Analog Modulation
inferredcites →https://doi.org/10.1145/2018436.2018463openalex-snapshot
DOF
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Advanced Data Augmentation Methods in Neural Network for Functional Data Classification
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SDR implementation of a light deep learning model based CNN for joint spectrum sensing and AMC
inferred← citeshttps://doi.org/10.1088/1742-6596/1621/1/012083openalex-snapshot
Prototype of Data Link Based on Random Modulation Hopping and Automatic Modulation Recognition
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Digital Modulation Classification Based On Chicken Swarm Optimization and J48 Algorithm
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An End-to-End Demodulation System Based on Convolutional Neural Networks
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Effects of Attack Interference on Radio Signal Classification
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AI Filtering System for Optimizing Wavelet-Based Industrial Communications
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A transfer learning-based GAN for data augmentation in automatic modulation recognition
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Electromagnetic situation awareness and modeling for space–air–ground integrated networks
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Accurate unsupervised photon counting from transition-edge-sensor signals
inferred← citeshttps://doi.org/10.1108/ijwis-12-2023-0248openalex-snapshot
TLN-LSTM: an automatic modulation recognition classifier based on a two-layer nested structure of LSTM network for extremely long signal sequences
inferred← citeshttps://doi.org/10.1109/access.2018.2818794openalex-snapshot
End-to-End Learning From Spectrum Data: A Deep Learning Approach for Wireless Signal Identification in Spectrum Monitoring Applications
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Spatio-Temporal Spectrum Sensing in Cognitive Radio Networks Using Beamformer-Aided SVM Algorithms
inferred← citeshttps://doi.org/10.1109/access.2018.2872769openalex-snapshot
Big Data Processing Architecture for Radio Signals Empowered by Deep Learning: Concept, Experiment, Applications and Challenges
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Real-Time Interference Identification via Supervised Learning: Embedding Coexistence Awareness in IoT Devices
inferred← citeshttps://doi.org/10.1109/access.2019.2898474openalex-snapshot
Full-Duplex Backscatter Communications in Symbiotic Radio Systems
inferred← citeshttps://doi.org/10.1109/access.2019.2901710openalex-snapshot
Deep Learning-Based Channel Prediction in Realistic Vehicular Communications
inferred← citeshttps://doi.org/10.1109/access.2019.2918136openalex-snapshot
Fusion Methods for CNN-Based Automatic Modulation Classification
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DeepMorse: A Deep Convolutional Learning Method for Blind Morse Signal Detection in Wideband Wireless Spectrum
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Deep Learning for Large-Scale Real-World ACARS and ADS-B Radio Signal Classification
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Deep Hierarchical Network for Automatic Modulation Classification
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Multi–Dimensional Wireless Signal Identification Based on Support Vector Machines
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Automatic Wireless Signal Classification in Multimedia Internet of Things: An Adaptive Boosting Enabled Approach
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Data Augmentation for Deep Learning-Based Radio Modulation Classification
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Automatic Detection of Wireless Transmissions
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Modulated Autocorrelation Convolution Networks for Automatic Modulation Classification Based on Small Sample Set
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Deep Learning for Robust Automatic Modulation Recognition Method for IoT Applications
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Deep Learning for Modulation Recognition: A Survey With a Demonstration
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Cross Model Deep Learning Scheme for Automatic Modulation Classification
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Improving Medium Access Efficiency With Intelligent Spectrum Learning
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Long Short-Term Memory Based Spectrum Sensing Scheme for Cognitive Radio Using Primary Activity Statistics
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Gated Recurrent Unit Neural Networks for Automatic Modulation Classification With Resource-Constrained End-Devices
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Dive Into Deep Learning Based Automatic Modulation Classification: A Disentangled Approach
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A Hybrid Neural Network for Fast Automatic Modulation Classification
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Robust Deep Radio Frequency Spectrum Learning for Future Wireless Communications Systems
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Automatic Modulation Classification Scheme Based on LSTM With Random Erasing and Attention Mechanism
inferred← citeshttps://doi.org/10.1109/access.2020.3019243openalex-snapshot
Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification
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Deep RP-CNN for Burst Signal Detection in Cognitive Radios
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Device Type Identification via Network Traffic and Lightweight Convolutional Neural Network for Internet of Things
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Automatic Modulation Classification in Time-Varying Channels Based on Deep Learning
inferred← citeshttps://doi.org/10.1109/access.2020.3038208openalex-snapshot
The Performance Analysis of Signal Recognition Using Attention Based CNN Method
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Automatic Modulation Classification Based on Hierarchical Recurrent Neural Networks With Grouped Auxiliary Memory
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A Real-Time Modulation Recognition System Based on Software-Defined Radio and Multi-Skip Residual Neural Network
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Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification
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Dual-Determination of Modulation Types and Signal-to-Noise Ratios Using 2D-ASIQH Features for Next Generation of Wireless Communication Systems
inferred← citeshttps://doi.org/10.1109/access.2021.3067070openalex-snapshot
Underwater Communication Signal Recognition Using Sequence Convolutional Network
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Machine Learning Based Automatic Modulation Recognition for Wireless Communications: A Comprehensive Survey
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Towards Enhancing Spectrum Sensing: Signal Classification Using Autoencoders
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Deep Learning-Based Automatic Modulation Classification With Blind OFDM Parameter Estimation
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Faking Signals to Fool Deep Neural Networks in AMC via Few Data Points
inferred← citeshttps://doi.org/10.1109/access.2021.3111406openalex-snapshot
A Kind of Wireless Modulation Recognition Method Based on DenseNet and BLSTM
inferred← citeshttps://doi.org/10.1109/access.2021.3119524openalex-snapshot
Artificial Intelligence for Radio Communication Context-Awareness
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Automatic Modulation Classification: A Deep Architecture Survey
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IRLNet: A Short-Time and Robust Architecture for Automatic Modulation Recognition
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Parameter Estimation and Classification via Supervised Learning in the Wireless Physical Layer
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