2016
DOI: 10.2528/pierm16083001
|View full text |Cite
|
Sign up to set email alerts
|

Diagnosis of Coupled Resonator Bandpass Filters Using Vf and Optimization Method

Abstract: This paper presents a hybrid method combining a vector fitting (VF) and a global optimization for diagnosing coupled resonator bandpass filters. The method can extract coupling matrix from the measured or electromagnetically simulated admittance parameters (Y -parameters) of a narrow band coupled resonator bandpass filter with losses. The optimization method is used to remove the phase shift effects of the measured or the EM simulated Y -parameters caused by the loaded transmission lines at the input/output po… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
(2 citation statements)
references
References 17 publications
0
2
0
Order By: Relevance
“…Once they are known, the complex CM representing the lossy filter can be obtain, and then the extracted S-parameters can be obtained using Eq. (15).…”
Section: De O P Ti MI Za Ti On Tec Hni Qu E F or Ex Tra Cti Ng C Mmentioning
confidence: 99%
See 1 more Smart Citation
“…Once they are known, the complex CM representing the lossy filter can be obtain, and then the extracted S-parameters can be obtained using Eq. (15).…”
Section: De O P Ti MI Za Ti On Tec Hni Qu E F or Ex Tra Cti Ng C Mmentioning
confidence: 99%
“…The unloaded Q factors are obtained by analytic method that the results are not accurate enough. Reference uses optimized technology to determine the phase shift, the optimal variables are reduced, and the method to extracting CM by VF after removing the phase shift will have some problems. The current optimization methods are focused on the genetic algorithm (GA), and does not take into account the other optimized methods.…”
Section: Introductionmentioning
confidence: 99%