ADC low-complexity modelling identification and mitigation of baseband intermodulation distortion with instantaneous frequency dependence

Authors

  • Stanislas Dubois University of Bordeaux
  • Bruno Lelong
  • Jean-Michel Hodé
  • Guillaume Ferré
  • Dominique Dallet

DOI:

https://doi.org/10.21014/actaimeko.v12i3.1444

Keywords:

Baseband Modeling, Intermodulation Distortion, Identification, Mitigation, Frequency Dependence

Abstract

The linearization of active electronic components such as power amplifier or analog-to-digital-converter (ADC), is a vast subject. Many issues come into play, including behavioural modelling with the selection of a relevant model in terms of accuracy, complexity, identification, and compensation. In this paper we consider an ADC linearization problem, we propose an original low-complexity modelling identification and mitigation of baseband intermodulation distortion with instantaneous frequency dependence. Thus, we introduce a refinement of a power series model by adding a dependence on the variation of the instantaneous frequency of the signal. Based on this, we describe a method suitable for the model calibration using a two-tone signal. We finally present a measurement bench adapted to the calibration of the coefficients of the model, followed by some results of linearization. All the methods presented are intended to be operated in real time in embedded systems and are therefore studied to present very low computational complexities.

 

Downloads

Published

2023-09-11

Issue

Vol. 12 No. 3 (2023)

Section

Research Papers

License

Copyright (c) 2023 Stanislas Dubois, Bruno Lelong, Jean-Michel Hodé, Guillaume Ferré, Dominique Dallet

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under the CC BY 4.0, Creative Commons Attribution 4.0 International License.

Users are free to

  • share, i.e. copy and redistribute the material in any medium or format for any purpose, even commercially;
  • adapt, i.e. remix, transform, and build upon the material for any purpose, even commercially.

At the same time, the user must give appropriate credit, provide a link to the license, and indicate if changes were made.
Additional information about the license can be found at: https://creativecommons.org/licenses/by/4.0/.

Authors are

  • able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).