Structured Digital Predistorter Model Derivation Based on Iterative Learning Control
Paper in proceedings, 2016

A novel approach to derive model structures for digital predistorters based on iterative learning control (ILC) is presented. ILC is a technique used to identify the optimal PA input signal/predistorted signal that drives a PA to a desired output response. The ILC concept is used to derive an analytical expression of the predistorted signal and to identify basis functions for predistorter models. The proposed approach is used to derive a predistorter model structure from the memory polynomial model. Experimental results show that the predistorter model derived with the proposed approach can obtain better linearity performance than conventional models used in digital predistortion.

predistortion

nonlinear distortion

power amplifiers

nonlinearity

Author

Jessica Chani Cahuana

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

P. N. Landin

Ericsson AB

Christian Fager

Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics

Thomas Eriksson

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

2016 46th European Microwave Conference

2325-0305 (ISSN)

178-181

Subject Categories

Control Engineering

DOI

10.1109/EuMC.2016.7824307

ISBN

978-2-87487-043-9

More information

Latest update

11/19/2018