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How to convert S-PARAMETER to PI-MODEL ?

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nafraf

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S-PARAMETER to PI-MODEL

Hi,

Does anyone knows any tool to convert the S-parameter description of an indutor to its PI-MODEL?
 

Re: S-PARAMETER to PI-MODEL

Coilcraft have S-parameter files, as well as SPICE-files for their inductors. See

https://www.coilcraft.com/models.cfm

where you find informative reading under:

"How to use our SPICE models in PSPICE"
"How to use our models in Microwave Office"
"How to use our models in Eagleware GENESYS"

I have compared a few of them (S-parameter file and S-parameter plot of SPICE model) and they seem to agree. The SPICE model is very advanced, having e.g. frequency dependent resistors.

In your case, when you already have an S-parameter file, I suggest you create a Coilcraft SPICE model in your favorite RF circuit analysis program (ADS, MWO, Designer, Genesys...). Then optimize the L, C and R's until you get approx the same S11 and S21 plots as in your S-parameter file. The narrower freq range you can accept for this match the more accurate the result will be. And faster optimization as well.
 

Re: S-PARAMETER to PI-MODEL

it's said that the coilcraft model is not a global type. see Q&A list below from coilcraft. I am afraid for different type of devices (note: capacitor model is not avaiable in coilcraft), so we need to build our own spice model.Maybe the most important problem is how to choose the model type.

/////////////////////////////////////////
Q: Why don’t all of the elements in your model follow a pattern throughout the series? Why don’t you offer “global” type models?

A: The assumption that all elements of a model will be proportional throughout a series is based on the idea that all variables in producing the different inductor values change in linear proportion to each other. This is almost never the case with wirewound inductors. In order to maintain a constant footprint and outline dimensions across a series, other physical variables must be adjusted in a non-linear manner. This makes it necessary to have a different model for each individual inductor value. The advantage is that the model for each value is based on real measurements and not physical assumptions.
 

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