[ibis-macro] Re: Adaptive Equalization in Statistical Simulations
- From: Todd Westerhoff <twesterh@xxxxxxxxxx>
- To: "IBIS-ATM" <ibis-macro@xxxxxxxxxxxxx>
- Date: Tue, 25 Mar 2014 14:29:28 -0400 (EDT)
Greg,
To a degree, it depends on what you mean by "adaptive". More specifically,
it depends on whether you mean "adapt once" or "adapt continually".
AMI models can modify their equalization based on the impulse response
passed in (and thus support Statistical Analysis). This has been the case
since 2008.
Notice, however, that the adaptation is a one-time deal, because the
impulse response is only passed in once. Continual adaptation - i.e. the
length of time it takes taps to settle, and tap drift, can only be modeled
in Time-Domain analysis, because you actually need to be processing lots
of bits to do that.
Does that help?
Todd.
Todd Westerhoff
VP, Semiconductor Relations
Signal Integrity Software Inc. . www.sisoft.com
6 Clock Tower Place . Suite 250 . Maynard, MA 01754
(978) 461-0449 x124 . twesterh@xxxxxxxxxx
"I want to live like that"
-Sidewalk Prophets
From: ibis-macro-bounce@xxxxxxxxxxxxx
[mailto:ibis-macro-bounce@xxxxxxxxxxxxx] On Behalf Of Gregory R Edlund
Sent: Tuesday, March 25, 2014 2:09 PM
To: IBIS-ATM
Subject: [ibis-macro] Adaptive Equalization in Statistical Simulations
It is my understanding that adaptive equalization is not possible in AMI
statistical simulations. To model adaptive equalization, I need to first
run a short transient simulation, load the RX tap settings from that
simulation into the model-specific parameters, and then run a statistical
simulation.
Question: what is it about modifying the impulse response that prevents
RX adaptive equalization in statistical simulations?
Thanks in advance for your time.
Greg Edlund
Senior Engineer
Signal Integrity and System Timing
IBM Systems & Technology Group
3605 Hwy. 52 N Bldg 050-3
Rochester, MN 55901
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