A linear regression inverse space mapping algorithm for EM-based design optimization of microwave circuits
Cargando...
Fecha
2011-06
Autores
Rayas-Sánchez, José E.
Vargas-Chávez, Noel
Título de la revista
ISSN de la revista
Título del volumen
Editor
IEEE MTT-S International Microwave Symposium
Resumen
Descripción
A new simplified formulation for inverse space mapping optimization of microwave circuits is presented in this work. In contrast to previous inverse space mapping algorithms, where artificial neural networks are trained to approximate the inverse space mapping at each iteration, our approach makes use of a linear regression formulation to calculate in closed form the
inverse mapping parameters at each iteration, making faster and
more robust the prediction of the next iterates. The inverse
mapping parameters are obtained by inverting a small matrix of
base points that is warranted to be full-rank. Direct input space
mapping by linear regression is also discussed. Our technique is
illustrated by the design optimization of a four-section 1:3
Butterworth stripline impedance transformer, and by a
microstrip notch filter with mitered bends.
Palabras clave
Space Mapping, Electromagnetic Based Optimization, Stripline Transformer, Microstrip Filters
Citación
J. E. Rayas-Sánchez and N. Vargas-Chávez, “A linear regression inverse space mapping algorithm for EM-based design optimization of microwave circuits,” in IEEE MTT-S Int. Microwave Symp. Dig., Baltimore, MD, Jun. 2011, pp. 1-4. (ISSN: 0149-645X; E-ISBN: 978-1-61284-756-6; P-ISBN: 978-1-61284-754-2; INSPEC: 12180836; DOI: 10.1109/MWSYM.2011.5972954)