dc.contributor.authorFu, Kai
dc.contributor.authorLaw, Choi Look
dc.contributor.authorThein, Than Tun
dc.date.accessioned2014-01-13T02:11:13Z
dc.date.available2014-01-13T02:11:13Z
dc.date.copyright2013en_US
dc.date.issued2013
dc.identifier.citationFu, K., Law, C. L., & Thein, T. T. (2013). Novel Neural Network Model Of Power Amplifier Plus Iq Imbalances. Progress In Electromagnetics Research B, 46, 177-192.en_US
dc.identifier.issn1937-6472en_US
dc.identifier.urihttp://hdl.handle.net/10220/18449
dc.description.abstractTraditionally, the transmitter (TX) IQ imbalances distortion and power amplifier (PA) distortion are separately modeled. In this paper, the behavior of the two distortions are unified, and characterized by a single model. Rectangular structured Focused Time-Delay Neural Network (RSFTDNN) is proposed to uniformly model IQ imbalances and PA distortions. As a result, the physical distortions in the analog circuits are further abstracted. It also saves computation resources in simulation. Unlike the polynomial based model, which suffers from condition number effects and inaccuracy for deeply nonlinear system, the proposed RSFTDNN shows high accuracy. Two cases of real experiments are carried out, where RSFTDNN model shows much better performance than the polynomial based model in the sense of model accuracy.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesProgress in electromagnetics research Ben_US
dc.rights© 2013 EMW Publishing. This paper was published in Progress In Electromagnetics Research B and is made available as an electronic reprint (preprint) with permission of EMW Publishing. The paper can be found at the following official OpenURL: [http://www.jpier.org/PIERB/pier.php?paper=12082404]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.en_US
dc.subjectElectrical and Electronic Engineering
dc.titleNovel neural network model of power amplifier plus Iq imbalancesen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.openurlhttp://www.jpier.org/PIERB/pier.php?paper=12082404
dc.description.versionPublished versionen_US


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