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dc.contributor.authorSun, Y.
dc.contributor.authorMoritz, J.
dc.contributor.authorZhu, X.
dc.date.accessioned2011-10-31T10:01:10Z
dc.date.available2011-10-31T10:01:10Z
dc.date.issued2011-01-01
dc.identifier.citationSun , Y , Moritz , J & Zhu , X 2011 , Adaptive impedance matching and antenna tuning for green software-defined and cognitive radio . in Midwest Symposium on Circuits and Systems . 1st edn , vol. 12269556 , Institute of Electrical and Electronics Engineers (IEEE) , pp. 1-4 , 2011 IEEE 54th International Midwest Symposium on Circuits and Systems (MWSCAS) , Korea , China , 7/08/11 . https://doi.org/10.1109/MWSCAS.2011.6026413
dc.identifier.citationconference
dc.identifier.isbn978-1-61284-856-3
dc.identifier.isbn978-1-61284-855-6
dc.identifier.otherPURE: 434479
dc.identifier.otherPURE UUID: d7ce2717-dd29-4e55-80e7-1023adf87666
dc.identifier.otherScopus: 80053620972
dc.identifier.urihttp://hdl.handle.net/2299/6838
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dc.description.abstractImpedance matching between the power amplifier and antenna is crucial for efficient power transfer in a green transmitter. A single antenna with a software-configurable tuning unit can serve the functions of multiple antennas which are otherwise required by multistandard wireless communications. Impedance matching and tuning must be adaptive and in real time for fast varying frequencies and surroundings of mobile communications. Small size and low power consumption must also be met in such tuning systems for mobile phones and terminals. This paper overviews automatic antenna tuning for modern and future generation mobile communications. Recent advances in impedance monitoring methods, fast tuning algorithms and programmable matching systems are discussed. Latest effort in integrating automatic impedance tuning systems on a silicon chip is also introduced.en
dc.format.extent4
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofMidwest Symposium on Circuits and Systems
dc.titleAdaptive impedance matching and antenna tuning for green software-defined and cognitive radioen
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionScience & Technology Research Institute
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=80053620972&partnerID=8YFLogxK
dc.identifier.urlhttp://www.mwscas2011.org/
rioxxterms.versionofrecordhttps://doi.org/10.1109/MWSCAS.2011.6026413
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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