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Modulation Recognition of Digital Signals Based on Deep Belief Network
2019
IOP Conference Series: Materials Science and Engineering
A modulation pattern recognition method for digital modulation signals, 4ASK, BPSK, QPSK, 2FSK and 4FSK digital modulation signals, which is based on deep learning model of deep belief network is proposed. The modulation signal is pre-processed and its high order cumulants are calculated as input training features. Solutions to the problem that the same high Modulation signals are generated in different SNR environments . Using the semi-supervised learning characteristics of deep confidence
doi:10.1088/1757-899x/563/5/052009
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