Modulation classification and demodulation system with a neural network
AssigneeUniversity of Dayton
InventorsShuo Zhang, Tarek M. Taha, Chris Yakopcic
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AssigneeUniversity of Dayton
InventorsShuo Zhang, Tarek M. Taha, Chris Yakopcic
Estimating the term…
A modulation classification and demodulation system is disclosed having a modulation classifier and a demodulator to classify modulations and then demodulate received signals that deviate during propagation from noise. The modulation classifier classifies each type of modulation for each signal transmitted to the receiver in a sequenced modulation signal into a corresponding modulation class based on a modulation classifier neural network that identifies each type of modulation. The sequenced modulation signal that is received by the modulation classifier is deviated from when initially transmitted by the transmitter based on noise that impacts the sequenced modulation signal as the sequenced modulation signal propagates from the transmitter. The demodulator demodulates the receives signal by decoding each symbol included in the received signal based on the determined modulation class of the received signal. The determined modulation class identifies each symbol in the determined modulation class to decode when deviated by noise.
A modulation classification and demodulation system the implements a neural network for transmission of a wireless communication signal, comprising:
A method for modulation classification and demodulation that implements a neural network for transmission of a wireless communication signal, comprising:
Dependencies are inferred from the claim text.