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SOM-LS: selective orthogonal matrix least-squares method for macromodeling multiport networks characterized by sampled data
Description
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.
Journal
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- Proceedings of the 2003 IEEE International Workshop on Behavioral Modeling and Simulation
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Proceedings of the 2003 IEEE International Workshop on Behavioral Modeling and Simulation 58-63, 2004-04-23
IEEE
