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

Evaluation of admittance domain behavioural model complexity requirements for Power Amplifier design

Moure, Maria Rocio, Casbon, Michael ORCID: https://orcid.org/0000-0002-8637-9888, Ladero, Nicolas, Fernandez‐Barciela, Monica and Tasker, Paul J. ORCID: https://orcid.org/0000-0002-6760-7830 2022. Evaluation of admittance domain behavioural model complexity requirements for Power Amplifier design. IET Microwaves, Antennas and Propagation 16 (12) , pp. 780-788. 10.1049/mia2.12285

[thumbnail of mia2.12285.pdf] PDF - Published Version
Download (1MB)

Abstract

Abstract: In the framework of Power Amplifier (PA) design for communications, frequency domain non‐linear behavioural models have shown their potential as efficient complementary modelling tools when Field Effect Transistor compact models are not available or sufficiently accurate. The Admittance behavioural model, formulated in the V‐I domain, is especially suitable for device size and fundamental frequency scaling. It is important to note that the direct extraction of this model, from the Nonlinear Vector Network Analyser (NVNA) load‐pull (LP) measurements, requires some extra processing since it necessitates a Look‐up‐Table indexed to |V11| rather than |A11|. When using such models in PA design, there is the need for the user to select the necessary model complexity. To address this requirement, in this paper, a systematic analysis methodology, to guide the user, is presented and validated in different PA design scenarios. The methodology was tested using NVNA LP measurements of GaN Heterostructure FETs. A fifth order Admittance model formulation showed good accuracy in the studied PA design scenarios.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Additional Information: License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher: Institution of Engineering and Technology (IET)
ISSN: 1751-8725
Date of First Compliant Deposit: 9 September 2022
Date of Acceptance: 18 July 2022
Last Modified: 19 May 2023 08:31
URI: https://orca.cardiff.ac.uk/id/eprint/152426

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics