DocumentCode :
1109957
Title :
Low-Order Identification of Interconnects With the Generalized Method of Characteristics
Author :
De Magistris, Massimiliano ; De Tommasi, Luciano ; Maffucci, Antonio ; Miano, Giovanni
Author_Institution :
Univ. di Napoli Federico II, Naples
Volume :
49
Issue :
3
fYear :
2007
Firstpage :
670
Lastpage :
676
Abstract :
This paper deals with the identification of low-order accurate macromodels describing electrically long lossy multiconductor transmission lines. The formulation is based on the generalized method of characteristics, whose key feature is the extraction of delays from the propagation operators. We describe and compare different delay extraction approaches, in view of the identification of the macromodels. In particular, we propose a new identification procedure enhancing the results coming from a vector fitting algorithm by a further nonlinear identification step. This gives more general properties to the model implementation (e.g., a state space realization with no repeated pole), possibly improving the accuracy at the same time. Some reference case studies are analyzed to highlight the key features of the proposed approach.
Keywords :
curve fitting; identification; multiconductor transmission lines; delay extraction approaches; interconnects low-order identification; lossy multiconductor transmission lines; nonlinear identification; propagation operators; state space realization; vector fitting algorithm; Circuit testing; Distributed parameter circuits; Frequency; Integrated circuit interconnections; Multiconductor transmission lines; Propagation delay; State-space methods; Transient analysis; Transmission line theory; Very large scale integration; Distributed parameter circuits; frequency-domain synthesis; rational approximation; transient analysis; transmission lines (TLs);
fLanguage :
English
Journal_Title :
Electromagnetic Compatibility, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9375
Type :
jour
DOI :
10.1109/TEMC.2007.902195
Filename :
4295211
Link To Document :
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