[SI-LIST] model to measurement correlation - (taken from Re: 2D vs 3D EM based signal integrity simulators)
- From: "Grossman, Brett" <brett.grossman@xxxxxxxxx>
- To: "si-list@xxxxxxxxxxxxx" <si-list@xxxxxxxxxxxxx>
- Date: Mon, 25 Jan 2010 10:02:57 -0800
For my own curiosity...
I've seen the term 'correlation' used a lot when considering whether
s-parameter simulation results (a.k.a. model results) agree with measurements.
I am curious as to what people on this list generally consider as correlation.
To achieve a measure of 'correlation', what I've personally observed being
applied much of the time is a technique we call "The Eyeball Method." Use of
this technique is often characterized by the user making some statement like
"you can 'see*' that the measured and simulated insertion loss curves are right
on top of each other." I'd say in the majority of papers I review this is the
method employed.
[*hence the reason we call it the eyeball method]
Probably the next most common method I've seen is to take a scalar difference
between a measured and simulated response, and allow the residual to be the
measure of agreement. This is probably the second most used method in papers I
review, and it is a very distant second (IMHO).
We presented a method based on EVM a couple years ago which maintains the
vector nature of the data to a degree. It was meant to compare a simulation to
a distribution of measurements, but has also been applied to one measurement
vs. one simulation comparisons.
There are other methods we've described in past papers, and I believe that all
of these methods have their place. I don't think I could describe them as well
as I can if I hadn't used them all myself, so I don't feel as if I am picking
on anyone by asking a question.
What I am curious about from this list is:
1. What method do you use to quantitatively describe the agreement between
simulated and measured s-parameters?
Any comments?
Thanks,
-Brett
Brett Grossman
Sr. Staff SI Engineer
Signal Integrity Pathfinding - Sort Test Technology Development
[cid:image001.gif@01CA9DA3.2E08F710]<http://www.linkedin.com/in/brettgrossman>
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