dc.creator | Becerra González, Juan Antonio | es |
dc.creator | Madero Ayora, María José | es |
dc.creator | Noguer, Rafael G. | es |
dc.creator | Crespo Cadenas, Carlos | es |
dc.date.accessioned | 2022-02-11T13:42:58Z | |
dc.date.available | 2022-02-11T13:42:58Z | |
dc.date.issued | 2020-12 | |
dc.identifier.citation | Becerra-González, J.A., Madero-Ayora, M.J., Noguer, Rafael G. y Crespo-Cadenas, C. (2020). On the Optimum Number of Coefficients of Sparse Digital Predistorters: A Bayesian Approach. IEEE Microwave and Wireless Components Letters, 30 (12), 1117-1120. | |
dc.identifier.issn | 1531-1309 | es |
dc.identifier.uri | https://hdl.handle.net/11441/129891 | |
dc.description.abstract | This work presents insights on the application of the Bayesian information criterion (BIC) to fix the optimum number of coefficients in the Volterra series applied to the modeling and linearization of power amplifiers (PAs). The BIC is transformed from a rule to be applied after selection techniques to a stopping criterion, which enables the halting of the algorithm when a condition is reached. This study reveals that the BIC is equivalent to allow a certain identification normalized mean square error (NMSE) decrease after the inclusion of a model component. Experimental results of the digital predistortion of a class J PA are provided, demonstrating the proposal applicability in the attaining of the optimum number of coefficients. A comparison is made between the results obtained when the stopping rule is applied to the hill climbing (HC) and the doubly orthogonal matching pursuit (DOMP) algorithms. | es |
dc.format | application/pdf | es |
dc.format.extent | 4 | es |
dc.language.iso | eng | es |
dc.publisher | IEEE | es |
dc.relation.ispartof | IEEE Microwave and Wireless Components Letters, 30 (12), 1117-1120. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Bayesian information criterion (BIC) | es |
dc.subject | Digital predistortion (DPD) | es |
dc.subject | Doubly orthogonal matching pursuit (DOMP) | es |
dc.subject | Hill climbing (HC) algorithm | es |
dc.subject | Order reduction | es |
dc.subject | Power amplifier (PA) | es |
dc.title | On the Optimum Number of Coefficients of Sparse Digital Predistorters: A Bayesian Approach | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones | es |
dc.relation.projectID | TEC2017-82807-P | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9222205 | es |
dc.identifier.doi | 10.1109/LMWC.2020.3027878 | es |
dc.contributor.group | Universidad de Sevilla. TIC158: Sistemas de Radiocomunicación | es |
dc.journaltitle | IEEE Microwave and Wireless Components Letters | es |
dc.publication.volumen | 30 | es |
dc.publication.issue | 12 | es |
dc.publication.initialPage | 1117 | es |
dc.publication.endPage | 1120 | es |