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

Published

June 17, 2003

Author(s)

Dominique Schreurs, Kate 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, US

Pub Type

Conferences

Download Paper

https://doi.org/10.1109/ARFTGS.2003.1216869

Local Download

Keywords

Behavioral models, artifical neural networks, multisine signals, nonlinear vector network analysis, telecommunication systems, wireless systems.

Citation

Schreurs, D. and Remley, K. (2003), Use of Multisine Signals For Efficient Behavioural Modelling of RF Circuits with Short-Memory Effects, 61st ARFTG Microwave Measurement Conference, Philadelphia, PA, US, [online], https://doi.org/10.1109/ARFTGS.2003.1216869, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=31317 (Accessed October 2, 2025)