Identification Methods with Different Digital Predistortion Models for Power Amplifiers with Strong Nonlinearity and Memory Effects
Paper in proceedings, 2020

Different methods have been used to identify a digital predistortion (DPD) model coefficients in power amplifier (PA) linearization, especially direct and indirect learning architecture (DLA/ILA), and iterative learning control (ILC) technique, etc. A comparison is made in this paper under the scenario of a PA with strong nonlinearity. Analysis of DLA and ILC shows their similarity. However DLA works only with linear-in-parameter models, excluding the new emerging neural network models which has shown a good linearization accuracy with ILC according to experimental results.

opitmization

nonlinear distortion

power amplifiers

model identification

Digital predistortion

neural network

Author

Siqi Wang

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Wenhui Cao

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Thomas Eriksson

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

2020 IEEE MTT-S International Wireless Symposium, IWS 2020 - Proceedings

9360062

2020 IEEE MTT-S International Wireless Symposium (IWS)
Shanghai, China,

Subject Categories

Bioinformatics (Computational Biology)

Control Engineering

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/IWS49314.2020.9360062

More information

Latest update

3/25/2021