A reappraisal of optimum output matching conditions in microwave power transistors

Quaglia, Roberto ORCID: https://orcid.org/0000-0003-3228-301X, Shepphard, Daniel J. and Cripps, Steve ORCID: https://orcid.org/0000-0002-2258-951X 2017. A reappraisal of optimum output matching conditions in microwave power transistors. IEEE Transactions on Microwave Theory and Techniques 65 (3) , pp. 838-845. 10.1109/TMTT.2016.2627557

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Abstract

This paper presents a novel approach to the identification of output power and efficiency contours in microwave power transistors in compressed regime. The formulation is based on a polynomial representation of the drain-source voltage profile accounting for the knee region. Closed-form equations for the output power and efficiency as function of the fundamental load are demonstrated, enabling the plot of contours on a Smith Chart. From these, a further simplified drawing procedure for approximated contours is also derived, differentiating between two families of output characteristic. The first, with smooth knee, is usually experienced in GaN devices, while the second exhibits a steep knee which can be associated to GaAs devices’ typical behaviour. A 5W GaN HEMT, a 2.5W GaN HEMT, and a 0.7W GaAs pHEMT are characterized with load pull measurements. In all three cases, the proposed method results in a very accurate contour construction, despite being based on an approximated output current/voltage profile and on a rough estimate of output equivalent capacitance.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords:	Power amplifiers, high efficiency amplifiers, Field-Effect Transistors.
Additional Information:	This is an open access article under the terms of the CC-BY Attribution 4.0 International license.
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
ISSN:	0018-9480
Date of First Compliant Deposit:	5 December 2016
Date of Acceptance:	5 November 2016
Last Modified:	20 Nov 2024 12:45
URI:	https://orca.cardiff.ac.uk/id/eprint/96576

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