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   Articles with "modulation recognition" as a keyword



A Real-Time Modulation Recognition System Based on Software-Defined Radio and Multi-Skip Residual Neural Network

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3043588

Abstract: Communication signal modulation recognition has important research value in the fields of cognitive electronic warfare, communication countermeasures and non-collaborative communication. However, traditional signal recognition methods usually suffer some drawbacks, such as low accuracy, poor scalability,… read more here.

Keywords: modulation recognition; real time; multi skip; recognition ... See more keywords

Fully Complex Deep Learning Classifiers for Signal Modulation Recognition in Non-Cooperative Environment

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3151980

Abstract: Deep learning (DL) classifiers have significantly outperformed traditional likelihood-based or feature-based classifiers for signal modulation recognition in non-cooperative environments. However, despite these recent improvements, the conventional DL classifiers still have an unintended problem in handling… read more here.

Keywords: learning classifiers; deep learning; modulation recognition; modulation ... See more keywords

Deep Learning-Based Modulation Recognition for MIMO Systems: Fundamental, Methods, Challenges

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3440350

Abstract: In non-cooperative communication systems such as radio spectrum resource regulation and modern electronic warfare, automatic modulation recognition is a key technology. Traditional modulation recognition methods mainly rely on manual feature extraction, decision theory, and recognition… read more here.

Keywords: deep learning; modulation recognition; recognition mimo; recognition ... See more keywords

UAV Signal Modulation Recognition Algorithm Based on Joint Features

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3526194

Abstract: The precise identification of drone modulation schemes serves as a fundamental basis for achieving intelligent drone recognition. To address the limitations of existing algorithms that overly rely on single features, resulting in low recognition rates… read more here.

Keywords: modulation recognition; signal modulation; recognition algorithm; recognition ... See more keywords

Modulation Recognition Algorithm of Multipath Channel Signal for Orthogonal Frequency Division Multiplexing

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3551812

Abstract: As wireless communication technology rapidly develops, multipath channel effects pose a severe challenge to the effectiveness of orthogonal frequency division multiplexing systems. The signal distortion caused by multipath channel effects seriously affects the performance of… read more here.

Keywords: modulation recognition; frequency division; recognition; orthogonal frequency ... See more keywords

Attacking Modulation Recognition With Adversarial Federated Learning in Cognitive-Radio-Enabled IoT

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recommendations! Published in 2024 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2023.3327953

Abstract: Internet of Things (IoT) based on cognitive radio (CR) exhibits strong dynamic sensing and intelligent decision-making capabilities by effectively utilizing spectrum resources. The federal learning (FL) framework-based modulation recognition (MR) is an essential component, but… read more here.

Keywords: recognition; attack; modulation recognition; cognitive radio ... See more keywords

Efficient Residual Shrinkage CNN Denoiser Design for Intelligent Signal Processing: Modulation Recognition, Detection, and Decoding

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recommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"

DOI: 10.1109/jsac.2021.3126074

Abstract: The noises embedded in signals will degrade the signal processing quality. Traditional denoising algorithms might not work in practical systems since the statistical characteristics of noises might not be learned. To address this issue, we… read more here.

Keywords: modulation recognition; denoiser; signal processing; detection decoding ... See more keywords

Automatic Modulation Recognition for Radar Signal Based on Multi-Level and Multi-Scale Feature

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3587535

Abstract: With the increasing adoption of deep learning in signal processing, the performance and efficiency of automatic modulation recognition (AMR) for radar intra-pulse signal have been significantly enhanced. However, existing methods typically focus on feature extraction… read more here.

Keywords: feature; modulation recognition; level; radar ... See more keywords

W-MSTC: A Window Based Multi-Scale Temporal Cross Attention Method for Few-Shot Modulation Recognition

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recommendations! Published in 2025 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2025.3640581

Abstract: With the rapid advancement of wireless communication systems and evolving modulation types, obtaining sufficient labeled data for modulation recognition is becoming increasingly challenging. This letter proposes a novel method for few-shot modulation recognition, called window… read more here.

Keywords: multi scale; modulation recognition; cross; scale temporal ... See more keywords

OAE-EEKNN: An Accurate and Efficient Automatic Modulation Recognition Method for Underwater Acoustic Signals

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recommendations! Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3145329

Abstract: The automatic modulation recognition (AMR) enables the receiver to automatically recognize the modulation type of the received signal for achieving correct demodulation. However, the noise and interference in the underwater acoustic channel greatly influence the… read more here.

Keywords: modulation recognition; oae eeknn; modulation; underwater acoustic ... See more keywords

DCMNet: A Supervised Learning Framework for Radar Signal Modulation Recognition

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recommendations! Published in 2025 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2025.3578289

Abstract: Traditional radar signal modulation recognition (RSMR) methods struggle to achieve the required accuracy under low signal-to-noise ratio (SNR) conditions. To address this issue, a hybrid network architecture integrating deformable convolution and mamba (DCMNet) is proposed.… read more here.

Keywords: radar signal; recognition; signal modulation; modulation recognition ... See more keywords