Rapid design optimisation of microwave structures through automated tuning space mapping
Rapid design optimisation of microwave structures through automated tuning space mapping
- Author(s): S. Koziel ; Q.S. Cheng ; J.W. Bandler
- DOI: 10.1049/iet-map.2009.0618
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- Author(s): S. Koziel 1 ; Q.S. Cheng 2 ; J.W. Bandler 2
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View affiliations
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Affiliations:
1: Engineering Optimisation and Modeling Center, School of Science and Engineering, Reykjavík University, Reykjavík, Iceland
2: Simulation Optimization Systems Research Laboratory, Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada
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Affiliations:
1: Engineering Optimisation and Modeling Center, School of Science and Engineering, Reykjavík University, Reykjavík, Iceland
- Source:
Volume 4, Issue 11,
November 2010,
p.
1892 – 1902
DOI: 10.1049/iet-map.2009.0618 , Print ISSN 1751-8725, Online ISSN 1751-8733
Tuning space mapping (TSM) is one of the latest developments in space mapping technology. TSM algorithms offer a remarkably fast design optimisation with satisfactory results obtained after one or two iterations, which amounts to just a few electromagnetic simulations of the optimised microwave structure. The TSM algorithms (as exemplified by ‘Type-1’ tuning) could be simply implemented manually. The approach may require interaction between various electromagnetic-based and circuit models, as well as handling different sets of design variables and control parameters. As a result, certain TSM algorithms (especially so-called ‘Type-0’ tuning) may be tedious, thus, error-prone to implement. Here, we present a fully automated tuning space mapping implementation that exploits the functionality of our user-friendly space mapping software, the SMF system. The operation and performance of our new implementation is illustrated through the design of a box-section Chebyshev bandpass filter and a capacitively coupled dual-behaviour resonator filter.
Inspec keywords: resonator filters; microwave filters; band-pass filters; circuit analysis computing; Chebyshev filters
Other keywords:
Subjects: Electronic engineering computing; Passive filters and other passive networks
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