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

On the effective modeling of the test-set non-linearity

Husseini, Thoalfukar, Al-Rawachy, Azam, Anera, Syed S., Bell, James ORCID: https://orcid.org/0000-0002-4815-2199, Tasker, Paul ORCID: https://orcid.org/0000-0002-6760-7830 and Benedikt, Johannes ORCID: https://orcid.org/0000-0002-9583-2349 2018. On the effective modeling of the test-set non-linearity. Presented at: 2018 91st ARFTG Microwave Measurement Conference (ARFTG), Philadelphia, PA, USA, 15 June 2018. 2018 91st ARFTG Microwave Measurement Conference (ARFTG). IEEE, 10.1109/ARFTG.2018.8423832

[thumbnail of On the Effective Modeling of the Test-Set Non-linearity.pdf]
Preview
PDF - Accepted Post-Print Version
Download (900kB) | Preview

Abstract

This paper investigates and compares the use of nonlinear test-set models for an effective and accurate operation of active load-pull systems. The results demonstrate a simple-to-implement and yet robust technique to align the generator and receiver reference plane with a minimum set of required measurements. With only 14 measurements a high agreement between target and measured load points was achieved with an average error less than 0.1 dB over a 70dB dynamic range. An increase in modeling complexity has therefore yielded no improvement. To compare the results, a behavioral model was employed, and it is shown that a high order of model complexity is required to achieve the same level of accuracy. The presented work provides, for the first time, a practical and effective method for the modeling of test-set nonlinearities, hence allowing a cost-effective implementation of active load-pull systems that operate power amplifiers within a gain compression region.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Engineering
Publisher: IEEE
ISBN: 9781538654514
Date of First Compliant Deposit: 11 January 2019
Date of Acceptance: 15 June 2018
Last Modified: 24 Oct 2022 08:38
URI: https://orca.cardiff.ac.uk/id/eprint/118309

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics