Direct Learning Architecture For Digital Predistortion With Real-Valued Feedback

but.event.date26.04.2018cs
but.event.titleStudent EEICT 2018cs
dc.contributor.authorKrál, Tomáš Král, Jan
dc.date.accessioned2019-03-04T10:05:52Z
dc.date.available2019-03-04T10:05:52Z
dc.date.issued2018cs
dc.description.abstractThe power efficiency is a key parameter of modern comunication systems. Efficient nonlinear power amplifiers are linearised using digital predistorters. Conventional predistorters require two ADCs in the feedback. In this paper we have proposed a modification of the direct learning architecture using solely one ADC in the feedback and an RF mixer instead of a quadrature mixer. This allows us to minimise the system complexity and power consumtion and maximise the efficiency. The proposed architecture has been verified experimentally and compared to the conventional digital predistorters. We have shown that it can achieve same linearisation performance as the conventional architecture with two ADCs. Moreover the proposed method outperformed the conventional DPD with indirect learning architecture.en
dc.formattextcs
dc.format.extent332-336cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 24th Conference STUDENT EEICT 2018. s. 332-336. ISBN 978-80-214-5614-3cs
dc.identifier.isbn978-80-214-5614-3
dc.identifier.urihttp://hdl.handle.net/11012/138251
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 24th Conference STUDENT EEICT 2018en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectdigital predistortionen
dc.subjectdirect learning architectureen
dc.subjectreal-valued feedbacken
dc.titleDirect Learning Architecture For Digital Predistortion With Real-Valued Feedbacken
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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