Efficient optimization-oriented design methodology of high-order 3-D filters using 2-D and 3-D electromagnetic simulators

Summary This paper proposes a computationally highly efficient interface between two‐dimensional (2‐D) and three‐dimensional (3‐D) electromagnetic (EM) simulators for the optimization‐oriented design of high‐order 3‐D filters. In a first step, the novel optimization‐oriented design methodology align...

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Veröffentlicht in:International journal of circuit theory and applications 2015-10, Vol.43 (10), p.1431-1445
Hauptverfasser: Hinojosa, J., Quesada-Pereira, F. D., Bozzi, M., Alvarez-Melcon, A.
Format: Artikel
Sprache:eng
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Zusammenfassung:Summary This paper proposes a computationally highly efficient interface between two‐dimensional (2‐D) and three‐dimensional (3‐D) electromagnetic (EM) simulators for the optimization‐oriented design of high‐order 3‐D filters. In a first step, the novel optimization‐oriented design methodology aligns the 3‐D EM simulator response with the 2‐D EM simulator response of a low‐order 3‐D filter by using an inverse linear space mapping optimization technique. Then, a second mapping performs a calibration with the optimal 2‐D and 3‐D design parameters obtained from the first mapping. The optimization of high‐order filters is carried out using only the efficient 2‐D EM simulator, and the calibration equations directly give the design parameters of the 3‐D filter. The potential and the effectiveness of the proposed optimization‐oriented design methodology are demonstrated through the design of C‐band 3‐D evanescent rectangular waveguide bandpass filters with increasing orders from three to eight. Copyright © 2014 John Wiley & Sons, Ltd. A computationally highly efficient interface between 2‐D and 3‐D electromagnetic (EM) simulators for the optimization‐oriented design of high‐order 3‐D filters is proposed. In a first step, this novel approach aligns the 3‐D EM simulator response with the 2‐D EM simulator response of a low‐order 3‐D filter by using a space mapping (SM) optimization technique P1. Then, a second SM P2 performs a calibration with the optimal 2‐D and 3‐D design parameters obtained from P1. The optimization of high‐order filters is carried out using only the efficient 2‐D EM simulator, and the calibration equations of P2 directly give the design parameters of the 3‐D filter. The potential and the effectiveness of this novel approach are demonstrated through the design of 3‐D bandpass filters with increasing orders from three to eight.
ISSN:0098-9886
1097-007X
DOI:10.1002/cta.2008