The error power ratio estimates EVM for a wide class of impairments: Monte Carlo simulations

Karl Freiberger; Harald Enzinger; Christian Vogel

doi:10.1109/INMMIC.2017.7927308

The error power ratio estimates EVM for a wide class of impairments: Monte Carlo simulations

Karl Freiberger, Harald Enzinger, Christian Vogel

Institut für Signalverarbeitung und Sprachkommunikation (4420)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

The error vector magnitude (EVM) is an important system level metric for RF and mixed-signal communication systems and related building blocks. Recently, we have introduced the error power ratio (EPR), a method based on the noise power ratio for estimating the EVM, and presented selected simulation and measurement results. The present paper compares EVM and EPR for many different systems by randomly varying impairment model parameters. To model a multitude of nonlinearities with memory using few parameters, we use a novel baseband Wiener-Hammerstein model with feedback. In 3000 trials of combined phase noise, IQ mismatch and nonlinearity, the mean error (EPR minus EVM) is less than -0.25 dB. Outliers are within -0.5 and -0.8 dB over the entire range of EVM levels (-80 to -15 dB).

Originalsprache	englisch
Titel	Proceedings of the 2017 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits, INMMiC 2017
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers
ISBN (elektronisch)	9781509058624
DOIs	https://doi.org/10.1109/INMMIC.2017.7927308
Publikationsstatus	Veröffentlicht - 11 Mai 2017
Veranstaltung	2017 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits - Technische Universität Graz, Graz, Österreich Dauer: 20 Apr. 2017 → 21 Apr. 2017 Konferenznummer: 35116 http://www.inmmic.org/

Konferenz

Konferenz	2017 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits
Kurztitel	INMMiC
Land/Gebiet	Österreich
Ort	Graz
Zeitraum	20/04/17 → 21/04/17
Internetadresse	http://www.inmmic.org/

ASJC Scopus subject areas

Elektrotechnik und Elektronik
Modellierung und Simulation
Computernetzwerke und -kommunikation

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10.1109/INMMIC.2017.7927308

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Freiberger, K., Enzinger, H., & Vogel, C. (2017). The error power ratio estimates EVM for a wide class of impairments: Monte Carlo simulations. in Proceedings of the 2017 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits, INMMiC 2017 Artikel 7927308 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/INMMIC.2017.7927308

The error power ratio estimates EVM for a wide class of impairments: Monte Carlo simulations. / Freiberger, Karl; Enzinger, Harald; Vogel, Christian.
Proceedings of the 2017 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits, INMMiC 2017. Institute of Electrical and Electronics Engineers, 2017. 7927308.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Freiberger, K, Enzinger, H & Vogel, C 2017, The error power ratio estimates EVM for a wide class of impairments: Monte Carlo simulations. in Proceedings of the 2017 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits, INMMiC 2017., 7927308, Institute of Electrical and Electronics Engineers, 2017 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits, Graz, Österreich, 20/04/17. https://doi.org/10.1109/INMMIC.2017.7927308

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title = "The error power ratio estimates EVM for a wide class of impairments: Monte Carlo simulations",

abstract = "The error vector magnitude (EVM) is an important system level metric for RF and mixed-signal communication systems and related building blocks. Recently, we have introduced the error power ratio (EPR), a method based on the noise power ratio for estimating the EVM, and presented selected simulation and measurement results. The present paper compares EVM and EPR for many different systems by randomly varying impairment model parameters. To model a multitude of nonlinearities with memory using few parameters, we use a novel baseband Wiener-Hammerstein model with feedback. In 3000 trials of combined phase noise, IQ mismatch and nonlinearity, the mean error (EPR minus EVM) is less than -0.25 dB. Outliers are within -0.5 and -0.8 dB over the entire range of EVM levels (-80 to -15 dB).",

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year = "2017",

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doi = "10.1109/INMMIC.2017.7927308",

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AB - The error vector magnitude (EVM) is an important system level metric for RF and mixed-signal communication systems and related building blocks. Recently, we have introduced the error power ratio (EPR), a method based on the noise power ratio for estimating the EVM, and presented selected simulation and measurement results. The present paper compares EVM and EPR for many different systems by randomly varying impairment model parameters. To model a multitude of nonlinearities with memory using few parameters, we use a novel baseband Wiener-Hammerstein model with feedback. In 3000 trials of combined phase noise, IQ mismatch and nonlinearity, the mean error (EPR minus EVM) is less than -0.25 dB. Outliers are within -0.5 and -0.8 dB over the entire range of EVM levels (-80 to -15 dB).

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The error power ratio estimates EVM for a wide class of impairments: Monte Carlo simulations

Abstract

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ASJC Scopus subject areas

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