Interpolation and extrapolation capabilities of non-linear behavioural models

Saini, Randeep, Bell, James Joseph ORCID: https://orcid.org/0000-0002-4815-2199, Williams, T., Lees, Jonathan ORCID: https://orcid.org/0000-0002-6217-7552, Benedikt, Johannes ORCID: https://orcid.org/0000-0002-9583-2349 and Tasker, Paul J. ORCID: https://orcid.org/0000-0002-6760-7830 2011. Interpolation and extrapolation capabilities of non-linear behavioural models. Presented at: 2011 78th ARFTG Microwave Measurement Symposium (ARFTG), Tempe, AZ, USA, 1-2 December 2011. Proceedings of the 2011 78th ARFTG Microwave Measurement Symposium (ARFTG) - High Power RF Measurement Techniques. Los Alamitos, CA: IEEE, 10.1109/ARFTG78.2011.6183865

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Abstract

This paper demonstrates how the Poly Harmonic Distortion (PHD) modelling framework is effective in its ability to interpolate or extrapolate non-linear measured data and thereby improve the quality and speed of measurement systems. Fundamental interpolation was verified and demonstrated using a 7-coefficient model extracted from a sparse set of fundamental impedances (19 points). It was shown that a relatively low order polynomial was required to capture the second harmonic space. Interpolation accuracy was however increased by including more coefficients. Second harmonic extrapolation was carried out on measured data and shown to be accurate to an average confidence of 99% when 6 model coefficients were extracted on a 0.7 reflection coefficient circle and then used to predict data on a 1.0 reflection coefficient circle. Measurements were carried out using an open loop active load-pull system operating at a fundamental frequency of 9GHz, on a 0.5W 10×75μm GaAs PHEMT device.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Uncontrolled Keywords:	HEMTs, MMICs, Modeling, Nonlinear systems, scattering parameters
Publisher:	IEEE
ISBN:	9781467302814
Last Modified:	21 Oct 2022 09:23
URI:	https://orca.cardiff.ac.uk/id/eprint/36183

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