Modeling of LTCC filter using space-mapping neural network method

Author

Xia, H. ; Xu, Z.Q. ; Wang, P. ; Jin, L.

Author_Institution

Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2012

fDate

19-20 April 2012

Firstpage

1

Lastpage

3

Abstract

Modeling and analysis, optimization, and synthesis are the issues in design of low temperature co-fired ceramic (LTCC) filters. A multilayer filter is proposed based on the space mapped neuromodeling method. With optimizing and training the mapped relations between 3D structure and equivalent circuit in filter, physical structural characteristics of the filter can be got accurately and rapidly. This proposed model is validated through actual LTCC process. The filter exhibits a 300 MHz passband with the center frequency at 2.45 GHz and an in-band insertion loss of 2.2 dB. Measured results agree well with the high frequency simulation. The modeling method can be used for design on LTCC microwave passive components.

Keywords

UHF filters; ceramic packaging; equivalent circuits; microwave filters; 3D structure; LTCC filter modeling; LTCC microwave passive component; equivalent circuit; frequency 2.45 GHz; frequency 300 MHz; loss 2.2 dB; low temperature co-fired ceramic filter design; multilayer filter; physical structural characteristics; space mapped neuromodeling method; space-mapping neural network method; Band pass filters; Computational modeling; Integrated circuit modeling; Microwave circuits; Microwave filters; Neural networks; modelling; neral network; space mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave and Millimeter Wave Circuits and System Technology (MMWCST), 2012 International Workshop on

Conference_Location

Chengdu

Print_ISBN

978-1-4673-1893-8

Type

conf

DOI

10.1109/MMWCST.2012.6238174

Filename

6238174