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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Main Authors: Tao Fang, Zhi Xia, Songzuo Liu, Xiongbiao Wu, Lanyue Zhang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-08-01
Colecção:Applied Sciences
Assuntos:
multiple phase shift keying
single input multi output
sparse bayesian learning
expectation maximization
likelihood
Acesso em linha:https://www.mdpi.com/2076-3417/10/17/5919
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