IEEE MTT-S International Microwave Symposium Digest, 2005. 2005
DOI: 10.1109/mwsym.2005.1517012
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Enhanced surrogate models for statistical design exploiting space mapping technology

Abstract: . Abstract-We present advances in microwave and RF device modeling exploiting Space Mapping (SM) technology. We propose new SM modeling formulations utilizing input mappings, output mappings, frequency scaling and quadratic approximations. Our aim is to enhance circuit models for statistical analysis and yield-driven design. We illustrate our results using a capacitively-loaded two-section impedance transformer, a single-resonator waveguide filter and a six-section H-plane waveguide filter.

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Cited by 56 publications
(75 citation statements)
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“…We enhance using and a standard SM modeling methodology [1], [2]. We define an enhanced coarse model as (5) with parameters and found as (6) while , are base points, e.g., the so-called star-distribution [6] with center at an optimal solution of the model , i.e., . Typically, the number of base points is between 1 to 2 1 with being the number of design variables.…”
Section: Multicoarse-model Space Mapping Optimization Letmentioning
confidence: 99%
See 3 more Smart Citations
“…We enhance using and a standard SM modeling methodology [1], [2]. We define an enhanced coarse model as (5) with parameters and found as (6) while , are base points, e.g., the so-called star-distribution [6] with center at an optimal solution of the model , i.e., . Typically, the number of base points is between 1 to 2 1 with being the number of design variables.…”
Section: Multicoarse-model Space Mapping Optimization Letmentioning
confidence: 99%
“…Typically, the number of base points is between 1 to 2 1 with being the number of design variables. Optionally, in order to find a better starting point for SM optimization, one can perform one or more SM iterations using as a coarse model and as a fine model and use the optimization outcome as a center of the base set in (6). In practice, we often use one of the special cases of model (5).…”
Section: Multicoarse-model Space Mapping Optimization Letmentioning
confidence: 99%
See 2 more Smart Citations
“…The standard SM modeling methodology [5] provides reasonable accuracy while using a small amount of fine model data. Increasing the amount of fine model data has, however, little or no effect on the accuracy due to parameter extraction being independent of the evaluation point of the surrogate [7].…”
Section: Introductionmentioning
confidence: 99%