Title :
SOM-LS: selective orthogonal matrix least-squares method for macromodeling multiport networks characterized by sampled data
Author :
Tanj, Yuichi ; Watanabe, Takayuki ; Asai, Hideki
Author_Institution :
Dept. of RISE, Kagawa Univ., Takamatsu, Japan
Abstract :
We present the selective orthogonal matrix least-squares (SOM-LS) method for representing a multiport network characterized by sampled data with the rational matrix. 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 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 :
analogue circuits; circuit simulation; digital circuits; hardware description languages; least squares approximations; matrix algebra; multiport networks; network analysis; printed circuits; sampled data circuits; PCB models; SOM-LS; Verilog-A; circuit simulation level; macromodel multiport network; network analyzer; numerical electromagnetic analysis; rational matrix; selective orthogonal matrix least-squares method; Algorithm design and analysis; Analytical models; Circuit simulation; Consumer electronics; Electromagnetic analysis; Integrated circuit interconnections; Packaging; Predictive models; Reduced order systems; Transmission line matrix methods;
Conference_Titel :
Behavioral Modeling and Simulation, 2003. BMAS 2003. Proceedings of the 2003 International Workshop on
Print_ISBN :
0-7803-8135-1
DOI :
10.1109/BMAS.2003.1249858