Detail publikace

Direct Learning Architecture For Digital Predistortion with Real-Valued Feedback

KRÁL, J.

Originální název

Direct Learning Architecture For Digital Predistortion with Real-Valued Feedback

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The power efficiency is a key parameter of modern comunication systems. Efficient nonlinear power amplifiers are linearised using digital predistorters. Conventional predistorters require two ADCs in the feedback. In this paper we have proposed a modification of the direct learning architecture using solely one ADC in the feedback and an RF mixer instead of a quadrature mixer. This allows us to minimise the system complexity and power consumtion and maximise the efficiency. The proposed architecture has been verified experimentally and compared to the conventional digital predistorters. We have shown that it can achieve same linearisation performance as the conventional architecture with two ADCs. Moreover the proposed method outperformed the conventional DPD with indirect learning architecture.

Klíčová slova

digital predistortion, direct learning architecture, real-valued feedback

Autoři

KRÁL, J.

Vydáno

26. 4. 2018

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno, Czech Republic

ISBN

978-80-214-5614-3

Kniha

Proceedings of the 24th Conference STUDENT EEICT 2018

Strany od

332

Strany do

336

Strany počet

5

BibTex

@inproceedings{BUT149715,
  author="Jan {Král}",
  title="Direct Learning Architecture For Digital Predistortion with Real-Valued Feedback",
  booktitle="Proceedings of the 24th Conference STUDENT EEICT 2018",
  year="2018",
  pages="332--336",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno, Czech Republic",
  isbn="978-80-214-5614-3"
}