Publication: Improved adaptive impedance matching for RF front-end systems of wireless transceivers
| dc.contributor.author | Alibakhshikenari, Mohammad | |
| dc.contributor.author | Virdee, Bal S. | |
| dc.contributor.author | Shukla, Panchamkumar | |
| dc.contributor.author | See, Chan H. | |
| dc.contributor.author | Falcone Lanas, Francisco Javier | |
| dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
| dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren | eu |
| dc.date.accessioned | 2021-01-27T12:17:55Z | |
| dc.date.available | 2021-01-27T12:17:55Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | In this paper an automatic adaptive antenna impedance tuning algorithm is presented that is based on quantum inspired genetic optimization technique. The proposed automatic quantum genetic algorithm (AQGA) is used to find the optimum solution for a low-pass passive T-impedance matching LC-network inserted between an RF transceiver and its antenna. Results of the AQGA tuning method are presented for applications across 1.4 to 5 GHz (satellite services, LTE networks, radar systems, and WiFi bands). Compared to existing genetic algorithm-based tuning techniques the proposed algorithm converges much faster to provide a solution. At 1.4, 2.3, 3.4, 4.0, and 5.0 GHz bands the proposed AQGA is on average 75%, 49.2%, 64.9%, 54.7%, and 52.5% faster than conventional genetic algorithms, respectively. The results reveal the proposed AQGA is feasible for real-time application in RF-front-end systems. | en |
| dc.description.sponsorship | This work is partially supported by RTI2018-095499-B-C31, Funded by Ministerio de Ciencia, Innovación y Universidades, Gobierno de España (MCIU/AEI/FEDER,UE), and innovation programme under grant agreement H2020-MSCA-ITN-2016 SECRET-722424 and the financial support from the UK Engineering and Physical Sciences Research Council (EPSRC) under grant EP/E022936/1. | en |
| dc.format.extent | 11 p. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | 10.1038/s41598-020-71056-0 | |
| dc.identifier.issn | 2045-2322 (Electronic) | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/39084 | |
| dc.language.iso | eng | en |
| dc.publisher | Nature Research | en |
| dc.relation.ispartof | Scientific Reports, 2020, 10, 14065 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/722424 | en |
| dc.relation.publisherversion | https://doi.org/10.1038/s41598-020-71056-0 | |
| dc.rights | © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
| dc.rights.accessRights | Acceso abierto / Sarbide irekia | es |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Antennas | en |
| dc.subject | Wireless transceivers | en |
| dc.subject | Algorithms | en |
| dc.title | Improved adaptive impedance matching for RF front-end systems of wireless transceivers | en |
| dc.type | info:eu-repo/semantics/article | en |
| dc.type | Artículo / Artikulua | es |
| dc.type.version | info:eu-repo/semantics/publishedVersion | en |
| dc.type.version | Versión publicada / Argitaratu den bertsioa | es |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 69667b5c-e390-42d4-bc71-9f256c1b7b85 | |
| relation.isAuthorOfPublication.latestForDiscovery | 69667b5c-e390-42d4-bc71-9f256c1b7b85 |