IEICE TRANSACTIONS on Fundamentals
New Criteria of Selective Orthogonal Matrix Least-Squares Method for Macromodeling Multiport Networks Characterized by Sampled Data
Summary :
This paper presents the selective orthogonal matrix least-squares (SOM-LS) method for representing a multiport network characterized by sampled data with the rational matrix, improving the previous works, and providing new criteria. Recently, it is needed in a circuit design to evaluate physical effects of interconnects and package, and the evaluation is done by numerical electromagnetic analysis or measurement by network analyzer. Here, the SOM-LS method with the criteria will play an important role for generating the macromodels of interconnects and package in circuit simulation level. The accuracy of the macromodels is predictable and controllable, that is, the SOM-LS method fits the rational matrix to the sampled data, selecting the dominant poles of the rational matrix. In examples, simple PCB models are analyzed, where the rational matrices are described by Verilog-A, and some simulations are carried out on a commercial circuit simulator.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.2 pp.524-532
- Publication Date
- 2005/02/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.2.524
- Type of Manuscript
- Special Section PAPER (Special Section on Analog Circuit Techniques and Related Topics)
- Category
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Yuichi TANJI, Masaya SUZUKI, Takayuki WATANABE, Hideki ASAI, "New Criteria of Selective Orthogonal Matrix Least-Squares Method for Macromodeling Multiport Networks Characterized by Sampled Data" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 2, pp. 524-532, February 2005, doi: 10.1093/ietfec/e88-a.2.524.
Abstract: This paper presents the selective orthogonal matrix least-squares (SOM-LS) method for representing a multiport network characterized by sampled data with the rational matrix, improving the previous works, and providing new criteria. Recently, it is needed in a circuit design to evaluate physical effects of interconnects and package, and the evaluation is done by numerical electromagnetic analysis or measurement by network analyzer. Here, the SOM-LS method with the criteria will play an important role for generating the macromodels of interconnects and package in circuit simulation level. The accuracy of the macromodels is predictable and controllable, that is, the SOM-LS method fits the rational matrix to the sampled data, selecting the dominant poles of the rational matrix. In examples, simple PCB models are analyzed, where the rational matrices are described by Verilog-A, and some simulations are carried out on a commercial circuit simulator.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.2.524/_p
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@ARTICLE{e88-a_2_524,
author={Yuichi TANJI, Masaya SUZUKI, Takayuki WATANABE, Hideki ASAI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={New Criteria of Selective Orthogonal Matrix Least-Squares Method for Macromodeling Multiport Networks Characterized by Sampled Data},
year={2005},
volume={E88-A},
number={2},
pages={524-532},
abstract={This paper presents the selective orthogonal matrix least-squares (SOM-LS) method for representing a multiport network characterized by sampled data with the rational matrix, improving the previous works, and providing new criteria. Recently, it is needed in a circuit design to evaluate physical effects of interconnects and package, and the evaluation is done by numerical electromagnetic analysis or measurement by network analyzer. Here, the SOM-LS method with the criteria will play an important role for generating the macromodels of interconnects and package in circuit simulation level. The accuracy of the macromodels is predictable and controllable, that is, the SOM-LS method fits the rational matrix to the sampled data, selecting the dominant poles of the rational matrix. In examples, simple PCB models are analyzed, where the rational matrices are described by Verilog-A, and some simulations are carried out on a commercial circuit simulator.},
keywords={},
doi={10.1093/ietfec/e88-a.2.524},
ISSN={},
month={February},}
Copy
TY - JOUR
TI - New Criteria of Selective Orthogonal Matrix Least-Squares Method for Macromodeling Multiport Networks Characterized by Sampled Data
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 524
EP - 532
AU - Yuichi TANJI
AU - Masaya SUZUKI
AU - Takayuki WATANABE
AU - Hideki ASAI
PY - 2005
DO - 10.1093/ietfec/e88-a.2.524
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2005
AB - This paper presents the selective orthogonal matrix least-squares (SOM-LS) method for representing a multiport network characterized by sampled data with the rational matrix, improving the previous works, and providing new criteria. Recently, it is needed in a circuit design to evaluate physical effects of interconnects and package, and the evaluation is done by numerical electromagnetic analysis or measurement by network analyzer. Here, the SOM-LS method with the criteria will play an important role for generating the macromodels of interconnects and package in circuit simulation level. The accuracy of the macromodels is predictable and controllable, that is, the SOM-LS method fits the rational matrix to the sampled data, selecting the dominant poles of the rational matrix. In examples, simple PCB models are analyzed, where the rational matrices are described by Verilog-A, and some simulations are carried out on a commercial circuit simulator.
ER -
English
