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Use of Multisine Signals For Efficient Behavioural Modelling of RF Circuits with Short-Memory Effects

Published

Author(s)

Dominique Schreurs, Catherine A. Remley

Abstract

Behavioural models for RF devices are often base on single-tone data. However, this type of excitation is not representative of the digital modulation to which many RF devices are subjected in telecommunication systems. In this work, we show that the use of multisine excitation renders the modeling more efficient from both the experiment design and data handling point of view, without loss of accuracy.
Proceedings Title
61st ARFTG Microwave Measurement Conference
Conference Dates
June 8-13, 2003
Conference Location
Philadelphia, PA

Keywords

Behavioral models, artifical neural networks, multisine signals, nonlinear vector network analysis, telecommunication systems, wireless systems.
Created June 17, 2003, Updated November 10, 2018