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Journal of Computational Electronics
Erschienen in: Journal of Computational Electronics 1/2020

29.10.2019

A novel model for digital predistortion based on a gravitational search algorithm for linearization of transmitters in LTE networks

verfasst von: Ahmad Rahati Belabad, Saeed Sharifian, Seyed Ahmad Motamedi, Negin Gholizadeh

Erschienen in: Journal of Computational Electronics | Ausgabe 1/2020

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Abstract

A high-performance model with a gravitational search algorithm (GSA)-based generalized parallel two-box (GPTB) structure is suggested for digital predistortion in modern transmitters exhibiting memory effects, where the GSA is applied to identify the minimum dimension for the GPTB model. An indirect learning structure in conjunction with the GSA method is employed to identify the coefficients of the GSA-based GPTB model. The GPTB–GSA method is verified using simulations of a transmitter excited by quadrature amplitude modulation (QAM) signals in ADS software and simulations of the GSA in MATLAB software. The MATLAB results demonstrate the ability of the GSA to determine the dimension of the GPTB model efficiently. Also, the adjacent channel power ratio (ACPR) measure is decreased by about 16 dB according to the simulation. The proposed model and algorithm can reduce the number of coefficients by approximately 25% in comparison with the memory polynomial model.
Vorheriger Artikel Optimization-based design of a single-layer wideband reflectarray antenna in the terahertz regime

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Metadaten
Titel
A novel model for digital predistortion based on a gravitational search algorithm for linearization of transmitters in LTE networks
verfasst von
Ahmad Rahati Belabad
Saeed Sharifian
Seyed Ahmad Motamedi
Negin Gholizadeh
Publikationsdatum
29.10.2019
Verlag
Springer US
Erschienen in
Journal of Computational Electronics / Ausgabe 1/2020
Print ISSN: 1569-8025
Elektronische ISSN: 1572-8137
DOI
https://doi.org/10.1007/s10825-019-01413-4

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