Publication detail

Adaptive-order Polynomial Methods for Power Amplifier Model Estimation

DVOŘÁK, J. MARŠÁLEK, R. BLUMENSTEIN, J.

Original Title

Adaptive-order Polynomial Methods for Power Amplifier Model Estimation

Type

conference paper

Language

English

Original Abstract

Linearization techniques are required to reduce the undesirable effects of power amplifier nonlinearities in the wideband power-efficient radio communication systems. The polynomial model and its extension to the memory-polynomial are commonly used to model power amplifier nonlinearities. Determination of the appropriate order of the nonlinearity model is an actual issue to achieve effective methods for subsequent linearization techniques. Having in mind these facts, we compare two adaptive methods employing the determination of the appropriate order of the nonlinearity model. The first algorithm is the adaptive order recursive (ORLS) method, while the proposed solution is based on the recursive least squares method with the sequential updates. In the first stage the models were simulated in MATLAB. Depending on the mean square error estimate we decide on the appropriateness of the nonlinearity order increase. The parameters of the power amplifier models are based on the data experimentally obtained using the Universal Software Radio Peripheral (USRP) device with WBX front-end driven with an OFDM signal. After further performance evaluation, the order adaptation method will be used for efficient digital adaptive predistorter design.

Keywords

power amplifier; adaptive polynomial model; order recursive least squares; sequential least squares

Authors

DVOŘÁK, J.; MARŠÁLEK, R.; BLUMENSTEIN, J.

RIV year

2013

Released

16. 4. 2013

ISBN

978-1-4673-5517-9

Book

Proceedings of 23th Intenational Conference Radioelektronika 2013

Pages from

389

Pages to

392

Pages count

4

BibTex

@inproceedings{BUT99192,
  author="Jiří {Dvořák} and Roman {Maršálek} and Jiří {Blumenstein}",
  title="Adaptive-order Polynomial Methods for Power Amplifier Model Estimation",
  booktitle="Proceedings of 23th Intenational Conference Radioelektronika 2013",
  year="2013",
  pages="389--392",
  isbn="978-1-4673-5517-9"
}