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Large-signal vector characterization of LDMOS devices for analysis and design of broadband Doherty high-power amplifiers

Published online by Cambridge University Press:  28 May 2019

Alessandro Cidronali Open the ORCID record for Alessandro Cidronali [Opens in a new window]  and
Giovanni Collodi
Alessandro Cidronali*
Affiliation:
Department of Information Engineering, University of Florence, V. S. Marta, 3, 50139 Florence, 50139, Italy
Giovanni Collodi
Affiliation:
Department of Information Engineering, University of Florence, V. S. Marta, 3, 50139 Florence, 50139, Italy
*
Author for correspondence: Alessandro Cidronali E-mail: alessandro.cidronali@unifi.it
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Abstract

We present a novel broadband large-signal vector characterization technique, suitable for high-power broadband Doherty amplifiers (DPAs). It consists of characterizing the DPA three-port sub-circuit composed of the main and peak power devices that are inter-connected by the input network. We discuss a suitable way to extract the three-port X-parameters of a DPA sub-circuit, which is based on a pair of high-power Silicon Laterally Diffused MOSFETs (LDMOSs) for UHF applications. It is then applied to the analysis of a high-power broadband DPA developed on the basis of the same DPA sub-circuit. This technique permits the broadband analysis of the operation of the DPA, as well as to get insight on the load modulation for both the peak and main devices, while they mutually interact through the input network. Measurements and simulated data in the 700–960 MHz bandwidth are compared so as to demonstrate the feasibility of three-port X-parameters characterization for high-power DPAs in UHF band.

Keywords

Broadband PAsDoherty power amplifierslarge-signal vector networkanalysissilicon LDMOSX-parameters
Type
EuMW 2018
Information
International Journal of Microwave and Wireless Technologies , Volume 11 , Special Issue 7: MIKON 2018 / EuMW 2018 (Part II) , September 2019 , pp. 666 - 675
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2019 

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