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

Karl Freiberger, Harald Enzinger, Christian Vogel

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

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).

Originalspracheenglisch
TitelProceedings 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
PublikationsstatusVeröffentlicht - 11 Mai 2017
Veranstaltung2017 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits - Technische Universität Graz, Graz, Österreich
Dauer: 20 Apr 201721 Apr 2017
Konferenznummer: 35116
http://www.inmmic.org/

Konferenz

Konferenz2017 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits
KurztitelINMMiC
LandÖsterreich
OrtGraz
Zeitraum20/04/1721/04/17
Internetadresse

ASJC Scopus subject areas

  • !!Electrical and Electronic Engineering
  • !!Modelling and Simulation
  • !!Computer Networks and Communications

Fingerprint Untersuchen Sie die Forschungsthemen von „The error power ratio estimates EVM for a wide class of impairments: Monte Carlo simulations“. Zusammen bilden sie einen einzigartigen Fingerprint.

  • Dieses zitieren

    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. https://doi.org/10.1109/INMMIC.2017.7927308