M-ary Phase Position Shift Keying Demodulation Using Stacked Denoising Sparse Autoencoders

A deep-learning based detector for M-ary phase position shift keying (MPPSK) systems is proposed in this paper. The major components of this detector include a special impact filter, a stacked denoising sparse autoencoder (DSAE), which was trained in unsupervised learning to extract features from th...

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Bibliographic Details

Published in:	Electronics (Basel) Vol. 11; no. 8; p. 1233
Main Authors:	Lu, Conghui, Chen, Peng, Zhong, Hua, Wang, Mengyuan
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.04.2022
Subjects:	Bandwidths Classifiers Communication Deep learning Demodulation Feature extraction Keying Neural networks Noise Noise reduction Phase shift Phase transitions Random noise Wireless networks
ISSN:	2079-9292, 2079-9292
Online Access:	Get full text
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