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N8823B Datasheet(PDF) 11 Page - Keysight Technologies |
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N8823B Datasheet(HTML) 11 Page - Keysight Technologies |
11 / 21 page 11 | Keysight | EZJIT Complete Jitter and Vertical Noise Analysis Software for Infiniium Oscilloscopes - Data Sheet The problem Common spectral algorithm for RJ extraction over-reports RJ. Why? Any Aperiodic Bounded Uncorrelated Jitter (ABUJ) on the signal is factored into RJ. A common source of ABUJ is crosstalk from adjacent signals. How does this affect me? First, the RJ measurement can be inaccurate. Second, when measuring Total Jitter (TJ) vs. BER, TJ can be dramatically overestimated due to the RJ multiplier. For example, TJ = DJ + 14*RJ RMS for a BER of 10^-12. This means the scope will provide an unfairly negative report of the overall jitter performance of your serial data link. Figure 14. Jitter separation with artificially extreme crosstalk using spectral algorithm for RJ extraction. Notice the discontinuity in the BER bathtub. Accurate Random Jitter Separation using Spectral and Tail Fit Algorithms Figure 15. Jitter separation with artificially extreme crosstalk using tail fit algorithm for RJ extraction. Notice the good fit to the BER bathtub and dramatically lower RJ and TJ results. The solution EZJIT Complete provides two distinct algorithms for RJ extraction to ensure you achieve accurate measurements under all signal conditions. The Tail Fit algorithm accurately extracts RJ, even in extreme ABUJ/crosstalk environments, by fitting directly to the tail of the RJ,PJ histogram. Figures 14 and 15 contrast the two algorithms in a contrived jitter measurement with extreme crosstalk. You can see the tail fit algorithm in Figure 5 provides a much better fit to the BER bathtub curve in the upper left and reports significantly lower RJ and TJ. |
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