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A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Data

A good approximation to power amplifier (PA) behavioral modeling requires precise baseband models to mitigate nonlinearities. Since digital predistortion (DPD) is used to provide the PA linearization, a framework is necessary to validate the modeling figures of merit support under signal conditionin...

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Detalles Bibliográficos
Autores principales: Galaviz-Aguilar, Jose Alejandro, Vargas-Rosales, Cesar, Cárdenas-Valdez, José Ricardo, Aguila-Torres, Daniel Santiago, Flores-Hernández, Leonardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571974/
https://www.ncbi.nlm.nih.gov/pubmed/36236560
http://dx.doi.org/10.3390/s22197461