DocumentCode
1363431
Title
Advanced Coupling Matrix and Admittance Function Synthesis Techniques for Dissipative Microwave Filters
Author
Miraftab, Vahid ; Yu, Ming
Author_Institution
COM DEV Ltd., Cambridge, ON, Canada
Volume
57
Issue
10
fYear
2009
Firstpage
2429
Lastpage
2438
Abstract
In this paper, novel approaches to synthesize admittance function polynomials and canonical N+2 coupling matrices for narrowband lossy filters are presented. The methods are simpler and more general than the ones found in the literature. The polynomial synthesis approach is fully analytical and also very useful for lossless polynomial synthesis with simpler derivations. The coupling matrix synthesis method is based on a lossy transversal network model, which can also accommodate direct source to load coupling. Unlike the lossless transversal coupling matrix, the lossy coupling matrix model requires the assumption of complex J-inverters and additional resistive elements in the network. The complex J-inverter circuit model is defined and explained in detail in this paper. The lossy transversal N+2 matrix can be systematically rotated to obtain a number of practical realizations. Parallel-coupled pairs and folded lossy configurations are shown as examples. Moreover, the synthesis of novel networks with different return-loss levels at source and load is presented. A performance comparison with a predistorted filter is also included in this paper.
Keywords
invertors; microwave filters; polynomial matrices; Parallel-coupled pairs; admittance function synthesis techniques; advanced coupling matrix; complex J-inverter circuit model; dissipative microwave filters; folded lossy configurations; lossy transversal network model; narrowband lossy filters; polynomial synthesis approach; Coupling matrix; filter diagnosis; lossy filters; microwave filter synthesis; polynomial filter synthesis; predistortion; transversal network;
fLanguage
English
Journal_Title
Microwave Theory and Techniques, IEEE Transactions on
Publisher
ieee
ISSN
0018-9480
Type
jour
DOI
10.1109/TMTT.2009.2029625
Filename
5232813
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