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Automatic modulation classification.
Block diagram for novel modulation classification algorithm.
Fig. 5 Autonomous modulation classification flow for radar pulses.
Generally, ANN has been adapted in the cognitive radio engine for various modulation classification, known as automatic modulation recognition (AMR) or automatic modulation classification (AMC).
The confidential performance of chaotic modulations is evaluated by a designed automatic modulation classification (AMC) system.
This shows the potential of the deep learning model for the application of modulation classification.
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The system performance is measured by its probability of correct classification (Pcc), defined as the percentage of the total number of modulation classifications made that were accurate.
Figure 6 shows the modulation family classification flow based on the MCA method.
Fig. 6 Modulation family classification flow chart based on the MCA method.
For 8PSK modulation, the classification reveals 86 different classes of mappings out of a total of 5,040 mappings [14].
And the state-of-art boosting algorithm, named xgboost, may be more suitable for modulation scheme classification without less iteration times and higher precision.
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