UNIVERSIT E NICE-SOPHIA ANTIPOLIS
UNIVERSIT E NICE-SOPHIA ANTIPOLIS
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尼斯索菲亚安蒂波利斯大学
DOI:
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发表时间:
2010
期刊:
影响因子:
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通讯作者:
A. Akansu
中科院分区:
文献类型:
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作者:
B. Ozer;W. Wolf;A. Akansu
The design of microwave bandpass filter generally requires optimization or finetuning of the physical design parameters in order to meet the electrical specifications given by a frequency template. In this thesis we develop models to assist the designer in the time-efficient physical design of the distributed element microwave filters. The aim is to incorporate these models in different computer-aided design (CAD) methods. By a time-efficient design, we mean a design that requires a low number of electromagnetic (EM) simulations. The EM-simulations typically represent the most time-consuming step during the optimization process. We propose different modeling approaches for the frequency response behavior of the filter. The first approach models the coupling matrix as a function of the physical design parameters and the second approach models the scattering (S-) parameters, again as a function of the physical parameters. In the first part of the text we focus on the design of narrow-band microwave bandpass filters implemented in a microstrip technology. The design of such filters is often based on the coupling matrix theory. It models the distributed element microwave filter by a lumped element circuit consisting of coupled LCresonators that resonate in the vicinity of its center frequency. The behavior of these coupled resonator circuits is represented by a coupling matrix. The first step of the design process synthesizes a coupling matrix (golden goal) realizing a filter function that fulfills the frequency specifications. Next this coupling matrix is physically implemented by correctly dimensioning the design parameters of the actual microwave filter. Over the last few years several computer-aided tuning (CAT) methods have been developed to optimize the physical design parameters. These tuning methods often extract a coupling matrix from the filters S-parameters and compare it to the golden goal. The extraction of the coupling matrix is critical, especially in the case of coupling topologies that allow multiple solutions.