Abstract

This paper describes the development of an energy-efficient amplify-and-forward distributed estimation scheme using realistic amplifier models. Specifically, a novel algorithm is presented that enables distributed estimation in the presence of amplifier compression resulting from the energy-efficient but non-linear class AB operation. In this system, a digital predistortion scheme is utilized to fit the amplifier at each sensor to a mathematically tractable, soft compression function that roughly mimics the compression region of the amplifier. It is shown both analytically and via simulation that using this scheme has two benefits over linear amplifier operation: improved transmitter efficiency by operating the amplifier in compression, and reduced sensitivity to heavy-tailed distributions due to the soft saturation.

Original languageEnglish (US)
Article number6595643
Pages (from-to)302-311
Number of pages10
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Volume61
Issue number1
DOIs
StatePublished - Jan 2014

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Sensors

Keywords

  • Amplifiers
  • distributed estimation
  • energy efficiency
  • nonlinearity
  • predistortion

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Energy-efficient distributed estimation by utilizing a nonlinear amplifier. / Santucci, Robert W.; Banavar, Mahesh K.; Tepedelenlioglu, Cihan; Spanias, Andreas.

In: IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 61, No. 1, 6595643, 01.2014, p. 302-311.

Research output: Contribution to journalArticle

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