On the use of compressed sampling algorithms for impairments compensation in dynamic nonlinear transmitters

Oualid Hammi, Abubaker Abdelhafiz, Fadhel M. Ghannouchi, Tareq Y. Al-Naffouri

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

1 Scopus citations

Abstract

Since its introduction, compressed sampling (CS) has found use in various applications ranging from image restoration, radar and sensing to channel and system identification. Recently in the radio frequency (RF) power amplifier (PA) design and linearization communities, there have been many attempts to utilize the CS technique to enable the development of efficient wireless transmitters. This paper provides a brief review of the use of CS in PA and transmitter linearization. Mainly two approaches are discussed: the use of CS to recover amplitude-distorted signals, and the use of CS to reduce the complexity of the digital predistorters. Experimental results obtained using an envelope tracking (ET) PA prototype show the potential and value of the CS technique in developing efficient predistorters at a low computational cost.

Original languageEnglish (US)
Title of host publication2015 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages641-645
Number of pages5
ISBN (Electronic)9781509004805
DOIs
StatePublished - Jan 28 2016
Event15th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015 - Abu Dhabi, United Arab Emirates
Duration: Dec 7 2015Dec 10 2015

Publication series

Name2015 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015

Other

Other15th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period12/7/1512/10/15

Keywords

  • compressed sampling
  • data-aided estimation
  • envelope tracking
  • nonlinear distortion
  • power amplifiers

ASJC Scopus subject areas

  • Signal Processing

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