Interview Drills for Equalization Overview focuses on eye opening, BER vs EQ setting, adaptation convergence. The goal is to connect observed symptom to boundary mechanism, ownership, and signoff risk.
PROMPT
You see eye opening, BER vs EQ setting, adaptation convergence on Equalization Overview. Walk through root cause and fix.
STRONG ANSWER
1. Names boundary and mode.
2. Explains TX pre-emphasis and RX equalization compensate ISI and channel loss; over/under-equalization shifts noise sensitivity and error distribution.
3. Requests EQ sweep report, eye diagram snapshot, adaptation log.
4. Proposes one bounded fix and full regression.
WEAK ANSWER
Jumps to random tuning or tool commands without proving mechanism and ownership.EQ too low -> ISI dominates -> BER rises
EQ optimal -> eye opens -> BER minimum
EQ too high -> noise amplified -> BER risesROOT-CAUSE TREE — Equalization Overview
eye opening, BER vs EQ setting, adaptation convergence regressed
|
same silicon / run tags?
/ \
no yes
| |
env mismatch boundary contract or
tag mismatch true physical issue
/ \ |
clk reset isolate first failing
map sequence boundary transitionSerDes closure requires protocol, training, and SI evidence together.
SERDES FLOW
training -> equalization -> lane margin -> protocol stabilityBER VS EQ
BER
^
| high low high
+-----------------> EQ settinglane BER
training state transitions
EQ sweep report
link retry counters
Link looked protocol-clean but lane margin collapsed under thermal sweep.
Correlate LTSSM and lane metrics
Check SI margins
Review firmware timeout assumptions
Ask: what boundary condition proves this topic is actually closed?
State boundary, mode, and evidence tag with every claim.
Always align analog, digital, and physical owners before signoff decisions.
Fixing averages while tails still fail.
Skipping package/supply evidence in jitter or SerDes issues.
Shipping with waivers that lack owner and expiration criteria.
TX pre-emphasis and RX equalization compensate ISI and channel loss; over/under-equalization shifts noise sensitivity and error distribution.
Metric: eye opening, BER vs EQ setting, adaptation convergence
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