DocumentCode :
1337420
Title :
Macromodeling of Distributed Networks From Frequency-Domain Data Using the Loewner Matrix Approach
Author :
Kabir, M. ; Khazaka, R.
Author_Institution :
Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
Volume :
60
Issue :
12
fYear :
2012
Firstpage :
3927
Lastpage :
3938
Abstract :
Recently, Loewner matrix (LM)-based methods were introduced for generating time-domain macromodels based on frequency-domain measured parameters. These methods were shown to be very efficient and accurate for lumped systems with a large number of ports; however, they were not suitable for distributed transmission-line networks. In this paper, an LM-based approach is proposed for modeling distributed networks. The new method was shown to be efficient and accurate for large-scale distributed networks.
Keywords :
distribution networks; frequency-domain analysis; matrix algebra; time-domain analysis; LM-based approach; Loewner Matrix approach; distributed network macromodeling; frequency-domain data; large-scale distributed transmission-line network; lumped system; time-domain macromodel generation; Distributed databases; Frequency domain analysis; Interpolation; Time domain analysis; Transmission line matrix methods; Vectors; $S$ -parameters; $Y$- parameters; Distributed networks; Hamiltonian matrix; Loewner matrices (LMs); frequency-domain data; matrix format tangential interpolation; time-domain macromodel; vector fitting; vector format tangential interpolation;
fLanguage :
English
Journal_Title :
Microwave Theory and Techniques, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9480
Type :
jour
DOI :
10.1109/TMTT.2012.2222915
Filename :
6355961
Link To Document :
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