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Vector gain based EVM estimation at mm-wave frequencies

Conference Paper (2020)
Author(s)

J. van 't Hof (Student TU Delft)

C. De Martino (TU Delft - Electrical Engineering, Mathematics and Computer Science)

S. Malotaux (TU Delft - Electrical Engineering, Mathematics and Computer Science)

M. Squillante (Anteverta-mw B.V.)

M. Marchetti (Anteverta-mw B.V.)

L. Galatro (Vertigo Technologies)

M. Spirito (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Electronics
DOI related publication
https://doi.org/10.1109/ARFTG47271.2020.9241384 Final published version
More Info
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Publication Year
2020
Language
English
Research Group
Electronics
Article number
9241384
Pages (from-to)
1-5
ISBN (print)
978-1-7281-0952-7
ISBN (electronic)
978-1-7281-0951-0
Event
ARFTG 2020 (2020-08-04 - 2020-08-06), Los Angeles, United States
Downloads counter
263

Abstract

In this contribution we present a method for estimating linearity performance of devices operating in the higher millimeter-wave region, under modulated signals and over different loading conditions. The proposed method uses the power dependent vector gain extracted during continuous-wave large signal (load pull) measurements. The EVM prediction capability of the method is benchmarked with experimental load pull data with realistic modulated signals (QAM16) in the 5 GHz (RF) and in the 26 GHz (5G) bands on a 22nm CMOS FD-SOI device. The EVM estimated by the model correlates to the load pull measurements under complex modulated stimulus and properly predicts the best loading condition for linearity. Finally, the proposed method is used to estimate the EVM performance (QAM16) and the optimal loading condition for a 22nm CMOS-SOI device operating in the higher millimeter-wave region, at 165 GHz.