Dec 7, 2016 · Automatic modulation classification (AMC) for overlapped sources plays an important role in spectrum monitoring and signal interception.
Dec 9, 2024 · As the spectrum environment becomes increasingly crowded and complicated, primary users may be interfered by secondary users and other ...
Feb 9, 2024 · Abstract: This paper introduces a new technique for automatic modulation classification (AMC) in cognitive radio (CR) networks.
This paper introduces a new technique for automatic modulation classification (AMC) in Cognitive Radio (CR) networks.
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Recently, DNN-based AMC has been popular due to their unique capability for automatic feature extraction as mentioned above, but their accuracy and latency is ...
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Automatic Modulation Classification (AMC) is responsible for detecting the correct modulation types in the intelligent receivers.
Zhang.: Automatic modulation classification of overlapped sources using multiple cumulants. vol. 66, no. 7, pp. 6089–6101. IEEE Trans. Veh. Technol, (2016).
Oct 2, 2022 · These super-cumulants are further used to classify five digital modulation schemes on fading channels using the K-nearest neighbor (KNN). Our ...
We proposed a method that can simultaneously achieve good classification accuracy on well-annotated source data and unlabeled signals with varying symbol rates ...
Sep 26, 2016 · Introduction: Automatic modulation classification (AMC) is the process of identifying the modulation format of target signal, which has various.