An Improved Digital Predistortion Mechanism via Joint Baseband and Radio Frequency Optimization

Xiaojing Chen, Zhiyuan Jin, Shunqing Zhang*, Shugong Xu, Yongming Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Predistortion techniques can be categorized into digital predistortion (DPD) and analog predistortion (APD), which are always implemented separately in their own domains. The baseband-domain mean square error (MSE) is the design target of DPD, and the RF-domain inter-modulation distortions (IMDs) are applied for APD. In this letter, we propose a hybrid MSE-IMDs based DPD framework that optimizes the above two criteria simultaneously. Specifically, to make the joint optimization possible, we define a new IMDs metric which can capture the DPD model coefficients. The classic recursive least square (RLS)-based DPD scheme is improved to balance the MSE and IMDs metrics without increasing the complexity.

Original languageEnglish
Pages (from-to)439-443
Number of pages5
JournalIEEE Communications Letters
Volume26
Issue number2
DOIs
Publication statusPublished - 1 Feb 2022
Externally publishedYes

Keywords

  • DPD
  • IMDs
  • joint baseband and radio frequency optimization
  • Predistortion

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