Characterizing eye diagrams
View Patent ↗Systems and methods of characterizing eye diagrams are described. In one aspect, at measurement times across a measurement interval spanning at least one unit interval of the input signal, corresponding levels of the input signal are classified into groups based on at least one threshold. An eye diagram characteristic width is derived based on a distribution across the measurement interval of the levels in one of the groups.
1. A method of characterizing an eye diagram of an input signal, comprising:
at measurement times across a measurement interval spanning at least one unit interval of the input signal, classifying corresponding levels of the input signal into groups based on at least one threshold; wherein the unit interval is the shortest period between which the input signal can change state,
deriving an eye diagram characteristic width based on a distribution of the levels in one of the groups across the measurement interval; and
producing from the eye diagram characteristic width an eye diagram characteristic width signal that provides a measure of a characteristic width of the eye diagram.
2. The method of claim 1 , wherein the classifying comprises classifying as center input signal levels ones of the input signal levels within a center signal band defined between a first threshold and a second threshold and classifying as non-center input signal levels ones of the input signal levels outside the center signal band.
3. The method of claim 1 , wherein the deriving comprises estimating a ratio of respective populations of the input signal levels in a first one of the groups and the input signal levels in a second one of the groups.
4. The method of claim 1 , wherein the deriving comprises tracking across the measurement interval earliest and latest ones of the measurement times when input signal levels within one of the groups are obtained, and equating the characteristic width to a period spanning the earliest and latest measurement times.
5. The method of claim 1 , wherein the deriving comprises determining a histogram of the input signal levels in one of the groups across the measurement interval, and deriving the characteristic width from the histogram.
6. The method of claim 1 , wherein the classifying is based on a first threshold and a second threshold.
7. The method of claim 2 , wherein the classifying comprises generating a center signal indicative of the distributions of the center input signal levels and the non-center input signal levels across the measurement interval.
8. The method of claim 2 , wherein the deriving comprises deriving a transition region characteristic width of the input signal based on a distribution of the center input signal levels across the measurement interval.
9. The method of claim 6 , further comprising adjusting at least one of the first and second thresholds.
10. The method of claim 7 , wherein the generating comprises outputting the center signal in a first state for each of the center input signal levels and outputting the center signal in a second state for each of the non-center input signal levels.
11. The method of claim 9 , wherein the adjusting comprises narrowing separation between the first and second thresholds in response to a determination that a population of input signal levels in a group is below a threshold population level.
12. The method of claim 9 , wherein the adjusting comprises widening separation between the first and second thresholds in response to a determination that the derived characteristic width is narrower than a threshold width.
13. The method of claim 10 , wherein the generating comprises generating a first comparison signal based on comparisons of the input signal levels to the first threshold, generating a second comparison signal based on comparisons of the input signal levels to the second threshold, and applying a combinatorial logic operation on the first and second comparison signals to generate the center signal.
14. The method of claim 10 , wherein the generating comprises generating a folded signal having a level on a first side of a decision threshold for each of the center input signal levels and having a level on a second side of the decision threshold opposite the first side for each of the non-center input signal levels, and thresholding the folded signal at the decision threshold to generate the center signal.
15. A system for characterizing an eye diagram of an input signal, comprising:
a classification circuit operable to classify, at measurement times across a measurement interval spanning at least one unit interval of the input signal, corresponding levels of the input signal into groups based on at least one threshold; and
a post-processing circuit coupled to the classification circuit and operable to derive an eye diagram characteristic width based on a distribution of the levels in at least one of the groups across the measurement interval wherein the unit interval is the shortest period between which the input signal can change state.
16. The system of claim 15 , wherein the classification circuit is operable to classify as center input signal levels ones of the input signal levels within a center signal band defined between a first threshold and a second threshold and to classify as non-center input signal levels ones of the input signal levels outside the center signal band.
17. The system of claim 15 , wherein the post-processing circuit is operable to derive the eye diagram characteristic width based on an estimation of a ratio of respective populations of the input signal levels in a first one of the groups and the input signal levels in a second one of the groups.
18. The system of claim 15 , wherein the post-processing circuit is operable to track across the measurement interval earliest and latest ones of the measurement times when input signals levels within one of the groups are obtained and to equate the characteristic width to a period spanning the earliest and latest measurement times.
19. The system of claim 15 , wherein the post-processing circuit is operable to determine a histogram of input signal levels within one of the groups across the measurement interval and to derive the eye diagram characteristic width from the histogram.
20. The system of claim 15 , wherein the post-processing circuit is operable to derive the eye diagram characteristic width based on a first threshold and a second threshold.
21. The system of claim 16 , wherein the classification circuit comprises a center signal circuit for generating a center signal indicative of the distributions of the center input signal levels and the non-center input signal levels across the measurement interval.
22. The system of claim 16 , wherein the post-processing circuit is operable to derive a transition region characteristic width of the input signal based on a distribution of the center input signal levels across the measurement interval.
23. The system of claim 20 , further comprising a supervisory circuit operable to adjust at least one of the high and low thresholds.
24. The system of claim 21 , wherein the center signal circuit outputs the center signal in a first state for each of the center input signal levels and outputs the center signal in a second state for each of the non-center input signal levels.
25. The system of claim 23 , wherein the supervisory circuit is operable to narrow separation between the first and second thresholds in response to a determination that a population of input signal levels within a group is below a threshold population level.
26. The system of claim 23 , wherein the supervisory circuit is operable to widen separation between the first and second thresholds in response to a determination that the derived eye diagram characteristic width is narrower than a threshold width.
27. The system of claim 24 , wherein the center signal circuit comprises a first decision circuit operable to generate a first comparison signal based on comparisons of the input signal levels to the first threshold, a second decision circuit operable to generate a second comparison signal based on comparisons of the input signal levels to the second threshold, and a combinatorial logic circuit operable to logically combine the first and second comparison signals to generate the center signal.
28. The system of claim 24 , wherein the center signal circuit comprises: a folder circuit operable to generate a folded signal having a level on a first side of a decision threshold for each of the center input signal levels and having a level on a second side of the decision threshold opposite the first side for each of the non-center input signal levels; and a decision circuit operable to threshold the folded signal at the decision threshold to generate the center signal.