Blind Modulation Identification of Underwater Acoustic MPSK Using Sparse Bayesian Learning and Expectation Maximization

Blind Modulation Identification of Underwater Acoustic MPSK Using Sparse Bayesian Learning and Expectation Maximization

This paper presents a likelihood-based algorithm for identifying different phase shift keying (PSK) modulations, i.e., BPSK, QPSK, and 8PSK. This algorithm selects the modulation type that maximizes a loglikelihood function that is based on the known original constellation associated with the conste...

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Bibliographic Details
Main Authors: Tao Fang, Zhi Xia, Songzuo Liu, Xiongbiao Wu, Lanyue Zhang
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
multiple phase shift keying
single input multi output
sparse bayesian learning
expectation maximization
likelihood
Online Access:https://www.mdpi.com/2076-3417/10/17/5919

Internet

https://www.mdpi.com/2076-3417/10/17/5919

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