DocumentCode
3162104
Title
Application of partial element equivalent circuit method to analysis of S-parameters of a bandpass filter structure
Author
Cong, Guorui ; Ni, Guyan ; Dong, Jian
Author_Institution
Sch. of Sci., Nat. Univ. of Defense Technol. (NUDT), Changsha, China
fYear
2011
fDate
8-10 Aug. 2011
Firstpage
3789
Lastpage
3792
Abstract
Faced with the challenges of increasing operational frequencies and switching rates of modern electronics devices used in electrical systems, there is an extensive need for high frequency models (up to a few gigahertz) for electrical components like bandpass filters, couplers and power distributors. This paper presents the application of partial element equivalent circuit (PEEC) theory for the creation of electromagnetic models for bandpass filter. A technique to obtain S-parameters using the PEEC models for a bandpass filter structure is presented. The electromagnetic field couplings are separated in mutual partial inductances and mutual coefficients of potential giving a correct solution from DC to a maximum frequency determined by the meshing. The PEEC models are validated by comparing simulation results against other established modeling method, method of moments (MoM), and show good agreement. The model created by PEEC theory, could be helpful in the designs and diagnostics of bandpass filters and other electrical system components.
Keywords
S-parameters; band-pass filters; electromagnetic coupling; equivalent circuits; method of moments; MoM; PEEC theory; S-parameter; bandpass filter structure; coupler; electrical component; electromagnetic field coupling; high frequency model; method of moment; mutual partial inductance; operational frequency; partial element equivalent circuit method; power distributor; switching rate; Band pass filters; Electric potential; Equivalent circuits; Integrated circuit modeling; Mathematical model; Moment methods; Scattering parameters; S-parameters; bandpass filter; modeling; partial element equivalent circuit (PEEC); simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location
Deng Leng
Print_ISBN
978-1-4577-0535-9
Type
conf
DOI
10.1109/AIMSEC.2011.6009982
Filename
6009982
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