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Impact of sampling domain and number of samples on the accuracy of large‐signal multisine measurement‐based behavioral model
Author(s) -
Myslinski Maciej,
Schreurs Dominique,
Nauwelaers Bart
Publication year - 2010
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.20441
Subject(s) - sampling (signal processing) , metric (unit) , domain (mathematical analysis) , signal (programming language) , time domain , computer science , nonlinear system , frequency domain , algorithm , statistics , mathematics , engineering , telecommunications , physics , computer vision , mathematical analysis , detector , programming language , operations management , quantum mechanics
This article evaluates two alternative ways to execute the sampling of modulated data for large‐signal behavioral modeling. We show that the nonlinear metric domain uniform sampling outperforms the time‐domain uniform approach, and examine how the level of improvement depends on the number of samples used for model generation. © 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2010.