Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Direct extraction of an admittance domain behavioral model from large-signal load-pull measurements

Rocio Moure, M., Casbon, Michael, Fernandez-Barciela, Monica and Tasker, Paul J. 2017. Direct extraction of an admittance domain behavioral model from large-signal load-pull measurements. Presented at: 2017 IEEE MTT-S International Microwave Symposium (IMS), Honololu, HI, USA, 4-9 June 2017. 2017 IEEE MTT-S International Microwave Symposium (IMS). IEEE, pp. 1053-1056. 10.1109/MWSYM.2017.8058775

[img]
Preview
PDF - Accepted Post-Print Version
Download (466kB) | Preview

Abstract

Look-up table behavioral models (i.e. X-parameters, Cardiff model), input drive `|A 11 |' referenced, extracted directly from measurement data, provide an accurate non-linear CAD modeling solution. Typically, formulated, like s-parameters, in the travelling wave (A-B) domain, since these waves can be directly measured and controlled in the high frequency domain. However, if formulated in the admittance (I-V) domain they would provide a more robust MMIC design modelling solution supporting the capability of width and frequency scaling. Presently, no technique has been presented that allows for the extraction of admittance behavioral models directly from load-pull measurements. Previous solutions have all involved complex indirect procedures based on using an extracted (A-B) domain behavioral model and CAD simulations using voltage sources. In this paper, a new extraction approach is presented which, by including the influence of variable `Vii', allows for direct extraction of admittance behavioral models. This approach has been validated on GaN devices.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: IEEE
ISBN: 978-1-5090-6360-4
Date of First Compliant Deposit: 10 October 2018
Last Modified: 13 Aug 2019 13:28
URI: http://orca.cf.ac.uk/id/eprint/113584

Citation Data

Cited 4 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics