Title :
Macromodeling of microwave structures based on noisy frequency-domain data
Author :
Deschrijver, D. ; Dhaene, T.
Author_Institution :
Antwerp Univ., Antwerp
Abstract :
Frequency-domain macromodeling tools are of paramount importance for the design and study of microwave structures. In this paper, a reliable identification method, called orthormal vector fitting method, is combined with a relaxation constraint. This leads to more accurate fitting models, in a limited amount of computation time, especially if the spectral data is contaminated with noise. Its performance is analyzed on a measurement-based example and compared to other existing approaches in the field.
Keywords :
frequency-domain analysis; iterative methods; least squares approximations; matrix algebra; microwave circuits; rational functions; spectral analysis; vectors; iterative least square method; macromodeling tool; matrix algebra; microwave structure; noisy frequency-domain data; orthonormal vector fitting method; rational basis fiunction; relaxation constraint; reliable identification method; spectral data; Frequency domain analysis; Iterative methods; Least squares approximation; Least squares methods; Noise robustness; Numerical stability; Performance analysis; Pollution measurement; Polynomials; Transfer functions;
Conference_Titel :
Microwaves, Radar & Wireless Communications, 2006. MIKON 2006. International Conference on
Conference_Location :
Krakow
Print_ISBN :
978-83-906662-7-3
DOI :
10.1109/MIKON.2006.4345347
