CSA-Assisted Gabor Features for Automatic Modulation Classification
Sign Up to like & getrecommendations! Published in 2022 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-021-01854-y
Abstract: Automatic modulation classification (AMC) is a process of automatic detection of modulation format imposed on the received signal with no prior information (carrier, signal power, phase offset) of the signal, also known as blind classification.… read more here.
Keywords: csa assisted; modulation; classification; modulation classification ... See more keywords
A Novel Approach for Automatic Modulation Classification via Hidden Markov Models and Gabor Features
Sign Up to like & getrecommendations! Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-4378-x
Abstract: In this paper, a novel approach is proposed for classification of pulse amplitude modulated (PAM) and quadrature amplitude modulated (QAM) signals. The automatic modulation classification is the intermediate step between detection and demodulation of the… read more here.
Keywords: hidden markov; automatic modulation; classification; novel approach ... See more keywords
Efficient and Reliable Modulation Classification for MIMO Systems
Sign Up to like & getrecommendations! Published in 2017 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-017-2730-9
Abstract: In this paper, an efficient and reliable feature-fusion-based modulation classification (MC) algorithm for multiple-input multiple-output (MIMO) systems is developed. It uses two higher-order cumulants of the transmitted signal streams to classify a broad set of… read more here.
Keywords: modulation; fusion; modulation classification; efficient reliable ... See more keywords
Automatic modulation classification with deep learning‐based frequency selection filters
Sign Up to like & getrecommendations! Published in 2020 at "Electronics Letters"
DOI: 10.1049/el.2020.1998
Abstract: Automatic modulation classification (AMC) is an important and challenging task that aims to discriminate modulation formats of received signals, such as military communications, cognitive radio and spectrum management. With the development of deep learning techniques,… read more here.
Keywords: frequency selection; modulation; classification; automatic modulation ... See more keywords
Automatic Modulation Classification of Overlapped Sources Using Multi-Gene Genetic Programming With Structural Risk Minimization Principle
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2868224
Abstract: As the spectrum environment becomes increasingly crowded and complicated, primary users may be interfered by secondary users and other illegal users. Automatic modulation classification (AMC) of a single source cannot recognize the overlapped sources. Consequently,… read more here.
Keywords: automatic modulation; classification; genetic programming; overlapped sources ... See more keywords
Automatic Modulation Classification Using Compressive Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2921988
Abstract: The deep convolutional neural network has strong representative ability, which can learn latent information repeatedly from signal samples and improve the accuracy of automatic modulation classification (AMC). In this paper, a novel compressive convolutional neural… read more here.
Keywords: neural network; modulation classification; automatic modulation; convolutional neural ... See more keywords
Automatic Modulation Classification Based on Hierarchical Recurrent Neural Networks With Grouped Auxiliary Memory
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3039543
Abstract: As a valuable topic in wireless communication systems, automatic modulation classification has been studied for many years. In recent years, recurrent neural networks (RNNs), such as long short-term memory (LSTM), have been used in this… read more here.
Keywords: modulation classification; memory; recurrent neural; automatic modulation ... See more keywords
Deep Learning-Based Automatic Modulation Classification Over MIMO Keyhole Channels
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195229
Abstract: Automatic modulation classification (AMC) is a significant part of cognitive communication systems. In early researches, likelihood-based (LB) and feature-based (FB) solutions were proposed for the AMC problem. With the developments in the data-driven approaches, a… read more here.
Keywords: classification; modulation classification; automatic modulation; deep learning ... See more keywords
Wireless Signal Representation Techniques for Automatic Modulation Classification
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DOI: 10.1109/access.2022.3197224
Abstract: In this paper, we present a comprehensive survey and detailed comparison of techniques that have been applied to the problem of identifying the type of modulation contained within received wireless signals. Known as automatic modulation… read more here.
Keywords: modulation; modulation classification; automatic modulation; wireless signal ... See more keywords
Generative Adversarial Network-Based Signal Inpainting for Automatic Modulation Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3279022
Abstract: Automatic modulation classification (AMC) aims to automatically identify the modulation type of a detected signal in an intelligent wireless receiver, such as software-defined radio (SDR). Recently, deep learning-based methods such as convolutional neural networks have… read more here.
Keywords: modulation; modulation classification; automatic modulation; signal inpainting ... See more keywords
Efficient Convolutional Networks for Robust Automatic Modulation Classification in OFDM-Based Wireless Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2022.3207377
Abstract: Orthogonal frequency-division multiplexing (OFDM) is commonly deployed in Internet of Things (IoT) systems to achieve high data rates with reasonable complexity, where noncooperative protocols encode signals with different modulations for multiple users. However, conventional modulation… read more here.
Keywords: classification; modulation; modulation classification; efficient convolutional ... See more keywords