Section: Chapter 6. Jitter and Noise Separation and Analysis in the Time and Frequency Domains
6.5. Comparison of Various Time and Frequency Domain Jitter Separation Methods
This chapter has introduced four time and/or frequency domain-based jitter separation methods. Each method has its unique characteristics, advantages, limitations, and performance. Table 6.1 reviews these in terms of their capabilities in determining jitter components of DDJ, DCD, ISI, PJ, RJ, and BUJ and associated accuracy.
Table 6.1. Comparison of the Capability and Performance of Different Jitter Separation Methods DDJ DCD ISI PJ RJ BUJ
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You can see from Table 6.1 that no single method can separate all the jitter components with good performance accuracy. An optimized combination of some of those methods will give rise to a hybrid method that has overall better capability and performance than individual methods for separating all the jitter components. In any case, time or frequency domain-based methods all suffer from their inability to determine broadband BUJ when all the jitter components are present unless broadband BUJ can be controlled in the estimation procedure. The best chance to resolve broadband BUJ still is to rely on the statistical domain approach introduced in Chapter 5 for a single measurement where broadband BUJ cannot be controlled and there is no knowledge prior to the measurement.
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Book: Jitter, Noise, and Signal Integrity at High-Speed
Section: Chapter 6. Jitter and Noise Separation and Analysis in the Time and Frequency Domains
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Information Theory Computer Science Mike Peng Li Prentice Hall Jitter, Noise, and Signal Integrity at High-Speed
6.6. Summary
This chapter started by discussing jitter representations in the time and frequency domains. In the frequency domain, commonly used functions are jitter FS and PSD functions. FS is obtained through Fourier Transformation of the jitter time function, and PSD is obtained through the jitter time-domain autocorrelation function. Approximated jitter PSD can also be obtained through time average of the squared jitter FS. This chapter then discussed DDJ separation in the time and frequency domains. In the time domain, DDJ can be estimated by averaging the waveform and associated zero-crossing time deviations. In the frequency domain, DDJ is spectral lines with frequencies being the integer multiples of the pattern repeating frequency, from either FS or PSD function. Section 6.3 introduced PJ, RJ, and BUJ separation in the frequency domain based on either jitter FS or PSD. PJ detection through techniques such as "sliding window" was discussed, along with broadband BUJ separation via two measurements when BUJ can be switched on and off in two measurements. Time-domain PJ and RJ separation also were introduced in this section. Section 6.4 described the new jitter parameter of PWS and its relationship with instantaneous edge transition jitter referenced to ideal timing. We showed the "difference function"
between the PWS and instantaneous jitter. When this relationship is used for an averaged waveform, the averaged PWS equals the DDJ difference function. A PWS estimation method based on the DDJ time record is presented. Section 6.5 compared the advantages and limitations of each jitter separation method. It also described how to create a hybrid method from each of the methods that will not suffer from shortfalls.
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Book: Jitter, Noise, and Signal Integrity at High-Speed
Section: Chapter 6. Jitter and Noise Separation and Analysis in the Time and Frequency Domains
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Information Theory Computer Science Mike Peng Li Prentice Hall Jitter, Noise, and Signal Integrity at High-Speed
Endnotes
1. W. B. Davenport and W. L. Root, An Introduction to the Theory of Random Signals and Noise, IEEE Press, 1987.
2. J. Wilstrup, "A Method of Serial Data Jitter Analysis Using One-Shot Time Interval Measurements,"
IEEE International Test Conference (ITC), 1998.
3. B. Ward, K. Tan, and M. Guenther, "Apparatus and Method for Spectrum Analysis-Based Serial Data Jitter Measurement," U.S. patent number 6,832,172, 2004.
4. L. Scharf, Statistical Signal Processing: Detection, Estimation, and Time Series Analysis, Prentice Hall, 1990.
5. Information Technology Industry Council and the American National Standards Institute, Inc. (ANSI),
"Fiber Channel Physical Interfaces (FC-PI-4) Rev 1.00," 2006.
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Book: Jitter, Noise, and Signal Integrity at High-Speed
No part of any chapter or book may be reproduced or transmitted in any form by any means without the prior written permission for reprints and excerpts from the publisher of the book or chapter. Redistribution or other use that violates the fair use privilege under U.S. copyright laws (see 17 USC107) or that otherwise
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Information Theory Computer Science Mike Peng Li Prentice Hall Jitter, Noise, and Signal Integrity at High-Speed