[ibis-macro] Re: Adaptive Equalization in Statistical Simulations
- From: Mike Steinberger <msteinb@xxxxxxxxxx>
- To: ibis-macro@xxxxxxxxxxxxx
- Date: Tue, 25 Mar 2014 14:15:46 -0500
Greg-
Many, if not most AMI receiver models perform adaptive equalization in
statistical analysis, in the sense that they're able to identify and
adopt the optimum configuration before calculating the output impulse
response(s). I've written a number of such models myself.
The implementation of adaptive equalization in statistical analysis is
often very different from the implementation in time domain simulation
or in the actual device, however. The model developer must therefore
have a deep understanding of the algorithm in the actual device, and
must be able to apply some creativity. Fortunately, there are numerous
model developers out there with sufficient skills for the job.
Mike Steinberger
On 03/25/2014 01:09 PM, Gregory R Edlund wrote:
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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