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

Karl Freiberger, Harald Enzinger, Christian Vogel

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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).

Original languageEnglish
Title of host publicationProceedings of the 2017 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits, INMMiC 2017
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781509058624
DOIs
Publication statusPublished - 11 May 2017
Event2017 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits, INMMiC 2017 - Technische Universität Graz, Graz, Austria
Duration: 20 Apr 201721 Apr 2017
Conference number: 35116
http://www.inmmic.org/

Conference

Conference2017 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits, INMMiC 2017
Abbreviated titleINMMiC
CountryAustria
CityGraz
Period20/04/1721/04/17
Internet address

Fingerprint

Error Estimates
Monte Carlo Simulation
Wiener Model
Hammerstein Model
Nonlinearity
Class
Monte Carlo simulation
Phase Noise
Phase noise
Building Blocks
Outlier
Communication Systems
Communication systems
Entire
Feedback
Data storage equipment
Metric
Model
Range of data
Simulation

ASJC Scopus subject areas

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

Cite this

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

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.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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