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Direct learning predistorter with a new loop delay compensation algorithm

  • Zhengdai Li
  • , Jingming Kuang
  • , Nan Wu*
  • *Corresponding author for this work
  • Dept. of Electronic Engineering
  • Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Digital baseband predistortion technology can effectively reduce the system nonlinear distortion. However, the predistortion algorithms based on indirect structure are sensitive to measurement noise and the traditional loop-delay estimation algorithms are vulnerable to the amplifier's nonlinear distortion especially in the amplifier saturation region. In this paper, we first present an adaptive nonlinear predistorter based on direct learning structure and then propose a new loop-delay estimation algorithm which applies to PA nonlinear distortion conditions by analyzing the relationship between the system loop-delay misalignment and the amplitude of HPA model identification error output. Simulation results show that the power spectral density (PSD) after the predistortion is very close to that of the ideal signal and a good NMSE performance is achieved.

Original languageEnglish
Title of host publicationIEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781467309905
DOIs
Publication statusPublished - 2012
Event75th IEEE Vehicular Technology Conference, VTC 2012-Spring - Yokohama, Japan
Duration: 6 May 2012 → 9 Jun 2012

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference75th IEEE Vehicular Technology Conference, VTC 2012-Spring
Country/TerritoryJapan
CityYokohama
Period6/05/12 → 9/06/12

Keywords

  • Loop delay estimation
  • Nonlinearity
  • Predistorter
  • RLS algorithm

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