Title :
Introducing the Power-Scalable Best Mixer Approximation
Author :
Vandermot, Koen ; Van Moer, Wendy ; Locht, LudwigDe ; Rolain, Yves
Author_Institution :
Dep. ELEC, Vrije Univ. Brussel, Brussels
Abstract :
A simple way is proposed to estimate an approximate behavior for a mixer. The best mixer approximation (BMA) is the best approximation in least square sense for a given class of signals, namely the class of the Gaussian signals with a fixed power spectrum. As a consequence, the BMA depends on the power of the input signal. The aim of this paper is to estimate one model that predicts the BMA for any input power within an a priori specified range of powers based on simulation experiments.
Keywords :
least squares approximations; mixers (circuits); power electronics; Gaussian signals; fixed power spectrum; least square sense; power-scalable best mixer approximation; Frequency measurement; Instrumentation and measurement; Least squares approximation; Local oscillators; Poles and zeros; Power system modeling; Predictive models; RF signals; Radio frequency; Transfer functions; Best Mixer Approximation; Nonlinear; RF measurements; mixer; scalable models;
Conference_Titel :
Instrumentation and Measurement Technology Conference Proceedings, 2008. IMTC 2008. IEEE
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4244-1540-3
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2008.4547075
