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   Articles with "modulation classification" as a keyword



CSA-Assisted Gabor Features for Automatic Modulation Classification

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recommendations! 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

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recommendations! 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

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recommendations! 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

A complex-valued convolutional fusion-type multi-stream spatiotemporal network for automatic modulation classification

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-73547-w

Abstract: Automatic Modulation Classification (AMC) is crucial in non-cooperative communication systems as it facilitates the identification of interference signals with minimal prior knowledge. Although there have been significant advancements in Deep Learning (DL) within the field… read more here.

Keywords: convolutional fusion; complex valued; automatic modulation; modulation classification ... See more keywords

Automatic modulation classification with deep learning‐based frequency selection filters

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recommendations! 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

Radio Frequency‐Retentive Network for Automatic Modulation Classification

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recommendations! Published in 2025 at "Electronics Letters"

DOI: 10.1049/ell2.70203

Abstract: As a common classification task in noncooperative communication scenarios, automatic modulation classification (AMC) is mainly used to quickly demodulate signals and is often deployed in different hardware architectures. In this paper, a radio frequency‐retentive network… read more here.

Keywords: classification; automatic modulation; radio frequency; retentive network ... See more keywords

Automatic Modulation Classification of Overlapped Sources Using Multi-Gene Genetic Programming With Structural Risk Minimization Principle

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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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recommendations! Published in 2022 at "IEEE Access"

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