Modeling and Identification of Ultra-Wideband Analog Multipliers

Andreas Pedross-Engel, Hermann Schumacher, Klaus Witrisal

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Analog multipliers are employed in many applications. In conventional RF front ends, for example, they are widely used for frequency conversion tasks. In noncoherent energy detectors or autocorrelation receivers, they multiply the (broadband) input signal by itself to achieve a down-conversion. Unfortunately, there exist no ideal hardware realizations of such devices, hence multipliers inevitably create undesired signal content at their output. To be able to deal with these effects or correct for them, we need to be able to model and identify realistic RF multipliers. This paper proposes and validates a multiple-input single-output Wiener-Hammerstein model for ultra-wideband (UWB) analog multipliers. The structure of the proposed model gives insight in the distortions created. It thus provides the possibility to study the realistic behavior of systems involving those multipliers, e.g., the influence of undesired nonlinear signal content onto noncoherent UWB receivers. A comparison of the model performance is shown with respect to measurements and circuit simulations.

Original languageEnglish
Article number7971987
Pages (from-to)283-292
Number of pages10
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Volume65
Issue number1
DOIs
Publication statusPublished - 1 Jan 2018

Fingerprint

Ultra-wideband (UWB)
Circuit simulation
Autocorrelation
Detectors
Hardware

Keywords

  • Analog multipliers
  • non-coherent receivers
  • UWB communications
  • Wiener-Hammerstein system model

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Modeling and Identification of Ultra-Wideband Analog Multipliers. / Pedross-Engel, Andreas; Schumacher, Hermann; Witrisal, Klaus.

In: IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 65, No. 1, 7971987, 01.01.2018, p. 283-292.

Research output: Contribution to journalArticleResearchpeer-review

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