Estimating Parameterized Scalable Models from the Best Linear Approximation of Nonlinear Systems for Accurate High-Level Simulations

Author

De Locht, Ludwig ; Vandersteen, Gerd ; Rolain, Yves ; Pintelon, Rik

Author_Institution

IMEC, Heverlee

Volume

1

fYear

2005

fDate

16-19 May 2005

Firstpage

517

Lastpage

522

Abstract

This paper describes a technique to retrieve the best linear approximation for nonlinear MIMO systems. It also describes the extraction of pole/zero trajectories depending on the input power. The proposed algorithms show excellent results on simulations of a two-stage 5 GHz wireless-LAN power amplifier and on measurements of a 5 GHz wireless-LAN variable-gain amplifier. The pole/zero trajectories were found to be smooth functions of the input power. We therefore recommend the proposed algorithms to extract scalable high-level models from simulations or measurements

Keywords

MIMO systems; approximation theory; high level synthesis; nonlinear network analysis; nonlinear systems; poles and zeros; power amplifiers; wireless LAN; 5 GHz; best linear approximation; high-level simulations; nonlinear MIMO systems; parameterized scalable model estimation; pole/zero trajectories; two-stage wireless-LAN power amplifier; wireless-LAN variable-gain amplifier; Approximation algorithms; Frequency; Instruments; Linear approximation; MIMO; Nonlinear systems; Parameter estimation; Poles and zeros; Power amplifiers; Power system modeling; MIMO best linear approximation; Nonlinear systems; scalable models;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE

Conference_Location

Ottawa, Ont.

Print_ISBN

0-7803-8879-8

Type

conf

DOI

10.1109/IMTC.2005.1604170

Filename

1604170