Methods and systems for predicting an optical fiber performance parameter

1. A method for predicting polarization mode dispersion (PMD) in an installed optical fiber, comprising:

measuring values of PMD for a first optical fiber at various points in time during the manufacture and installation of the first optical fiber;

identifying values of PMD corresponding to sensitive ones of the various points in time;

calculating a set of correlation coefficients based on the values of PMD corresponding to the sensitive ones of the various points in time; and

predicting an installed value of PMD for a second optical fiber based on the set of correlation coefficients.

2. The method of claim 1 , wherein identifying values of PMD corresponding to sensitive ones of the various points in time further comprises:

calculating one or more of: an initial set of correlation coefficients based on each of the measured values at the various points in time, or a set of regression equations based on each of the measure values at the various points in time; and

analyzing one or more of: the initial set of correlation coefficients or the set of regression equations to determine the sensitive ones of the various points in time.

3. The method of claim 1 , further comprising:

measuring a value of PMD for the second optical fiber at a first point in time; and

predicting an installed value of PMD for the second optical fiber based on the set of correlation coefficients and the value of PMD for the second optical fiber at the first point in time.

4. The method of claim 3 , wherein the first point in time is prior to a time of installation of the second optical fiber.

5. The method of claim 1 , wherein each of the set of correlation coefficients comprises a Pearson Product Moment correlation coefficient.

6. The method of claim 5 , wherein calculating the set of correlation coefficients further comprises calculating a square of each of the Pearson Product Moment correlation coefficients in the set of correlation coefficients to determine a proportion of variance of the each measurement explained by a variance in a preceding measurement.

7. The method of claim 1 , wherein the set of correlation coefficients includes multi-dimensional correlations based on three or more values measured at three or more points in time.

8. A method for predicting a performance characteristic of an optical fiber comprising:

obtaining, at each of a plurality of stages during manufacture or installation of a first optical fiber, measurements of the performance characteristic, wherein each of the plurality of stages takes place at a different point in time;

generating a first set of correlation coefficients based on the measurements;

identifying, based on the first set of correlation coefficients, sensitive stages from the plurality of stages;

generating a second set of correlation coefficients based on the measurements of the performance characteristic at the identified sensitive stages;

generating a generic correlation coefficient based on the second set of correlation coefficients; and

predicting an installed measurement of the performance characteristic of an other optical fiber based on the generic correlation coefficient.

9. The method of claim 8 , wherein a number of the sensitive stages is fewer than the number of the plurality of stages.

10. The method of claim 8 , further comprising:

calculating a linear regression based on the measurements of the performance characteristic at the identified sensitive stages; and

predicting the installed measurement of the performance characteristic for the other optical fiber based on the linear regression.

11. The method of claim 8 , wherein the optical fiber performance characteristic comprises polarization mode dispersion (PMD).

12. The method of claim 11 , wherein the PMD is measured using one of: a Jones Matrix Eigenanalysis (JME) method, a wavelength scanning method, or an interferometric method.

13. A method, comprising:

obtaining a first measurement of an optical fiber parameter for a first optical fiber at a first stage;

obtaining a second measurement of the optical fiber parameter for the first optical fiber at a second stage subsequent to the first stage;

obtaining a third measurement of the optical fiber parameter for the first optical fiber at a third stage subsequent to the second stage;

obtaining a fourth measurement of the optical fiber parameter for the first optical fiber at a fourth stage subsequent to the third stage;

generating a first correlation coefficient representing a shift in the first measurement and the second measurement;

generating a second correlation coefficient representing a shift between the third measurement and the fourth measurement;

identifying two or more sensitive stages based on the first and second correlation coefficients;

generating a generic correlation coefficient based on the identified sensitive stages; and

predicting a value of the optical fiber parameter for a second optical fiber at an installed stage based on the generic correlation coefficient.

14. The method of claim 13 , where the optical fiber parameter comprises polarization mode dispersion (PMD).

15. The method of claim 14 , wherein the PMD is measured using one of: a Jones Matrix Eigenanalysis (JME) method, a wavelength scanning method, or an interferometric method.

16. The method of claim 13 , wherein the first correlation coefficient comprises a Pearson Product Moment correlation coefficient.

17. The method of claim 13 , wherein the first correlation coefficient comprises a first Pearson Product Moment correlation coefficient and the second correlation coefficient comprises a second Pearson Product Moment correlation coefficient.

18. The method of claim 13 , further comprising:

calculating a linear regression based on the first correlation coefficient and the second correlation coefficient; and

determining a goodness of fit of the linear regression to evaluate a manufacturing or installation process.

19. The method of claim 18 , further comprising:

predicting the value of the optical fiber parameter for the second optical fiber based on the linear regression.

20. The method of claim 13 , further comprising:

generating additional correlation coefficients based on the identified sensitive stages;

generating the generic correlation coefficient based on the additional correlation coefficients; and

predicting the value of the optical fiber parameter for the second optical fiber at the installed stage based on the additional correlation coefficients.