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#1
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Jitter
Jitter measured relative to the reference input (trigger on reference
input, measure synthesizer output). 2.5GHz conventional PLL, ring oscillator, standard 0.18 digital CMOS process, ~75MHz reference. -- Mike -- |
#2
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Jitter
On Thu, 28 Feb 2008 07:59:41 -0800, Mike wrote:
Jitter measured relative to the reference input (trigger on reference input, measure synthesizer output). 2.5GHz conventional PLL, ring oscillator, standard 0.18 digital CMOS process, ~75MHz reference. -- Mike -- What model scope is that? Take a look at the flat parts of the waveform, and see how fuzzy they are. Your scope is running at 10 mV/cm, and if there's even millivolts of vertical noise from the scope or ground loops or something, vertical noise will look like time jitter. Your jitter may well be less than the scope reports! John |
#3
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Jitter
John Larkin wrote:
On Thu, 28 Feb 2008 07:59:41 -0800, Mike wrote: Jitter measured relative to the reference input (trigger on reference input, measure synthesizer output). 2.5GHz conventional PLL, ring oscillator, standard 0.18 digital CMOS process, ~75MHz reference. -- Mike -- What model scope is that? Take a look at the flat parts of the waveform, and see how fuzzy they are. Your scope is running at 10 mV/cm, and if there's even millivolts of vertical noise from the scope or ground loops or something, vertical noise will look like time jitter. Your jitter may well be less than the scope reports! I only know the scope as a Tek Communications Signal Analyzer (I suspect there's a particular model number, but I don't know what it is offhand). The signal amplitude is around 1Vpp; I zoomed in on the rising edge to make the measurement. As I recall, there are two display modes for the analyzer - points or continuous segments. We generally run in the points mode, which hides any visible amplitude noise. The number of hits, just over 500k, is the number of points that fall within the thin light-blue rectangle along the center line. In addition to amplitude variations, the delay through the circuit varies with supply and temperature. Our supply is pretty stable, but the temperature of the lab varies over time - by a few degrees during the day and much more when the HVAC shuts off at night. Those delay variations cause the overall delay to change, shifting the output relative to the input. When capturing large numbers of points, it wasn't uncommon for the A/C to cycle on or off. The result would be a very smeared trace, and useless statistics. At 4ps per division, you could see the effects of temperature by simply fanning the part. The reason I wanted to take so many points is that there continues to be a large number of engineers who believe that the Pk-Pk jitter number is constant, not a function of the sample size. So, I was really after Pk-Pk jitter for sample sizes from 1k points to 10 million. I never got past 500k - we couldn't keep the system stable long enough to make the measurement. From 1k to 500k, though, a plot of log(N) vs Jpk-pk^2 produced a nicely linear plot (more linear for larger N), just like theory predicts. Yes, for the nitpickers that read this, I'm assuming a Gaussian distribution. -- Mike -- |
#4
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Jitter
On Fri, 29 Feb 2008 08:46:59 -0800, Mike wrote:
John Larkin wrote: On Thu, 28 Feb 2008 07:59:41 -0800, Mike wrote: Jitter measured relative to the reference input (trigger on reference input, measure synthesizer output). 2.5GHz conventional PLL, ring oscillator, standard 0.18 digital CMOS process, ~75MHz reference. -- Mike -- What model scope is that? Take a look at the flat parts of the waveform, and see how fuzzy they are. Your scope is running at 10 mV/cm, and if there's even millivolts of vertical noise from the scope or ground loops or something, vertical noise will look like time jitter. Your jitter may well be less than the scope reports! I only know the scope as a Tek Communications Signal Analyzer (I suspect there's a particular model number, but I don't know what it is offhand). The signal amplitude is around 1Vpp; I zoomed in on the rising edge to make the measurement. As I recall, there are two display modes for the analyzer - points or continuous segments. We generally run in the points mode, which hides any visible amplitude noise. The number of hits, just over 500k, is the number of points that fall within the thin light-blue rectangle along the center line. In addition to amplitude variations, the delay through the circuit varies with supply and temperature. Our supply is pretty stable, but the temperature of the lab varies over time - by a few degrees during the day and much more when the HVAC shuts off at night. Those delay variations cause the overall delay to change, shifting the output relative to the input. When capturing large numbers of points, it wasn't uncommon for the A/C to cycle on or off. The result would be a very smeared trace, and useless statistics. At 4ps per division, you could see the effects of temperature by simply fanning the part. The reason I wanted to take so many points is that there continues to be a large number of engineers who believe that the Pk-Pk jitter number is constant, not a function of the sample size. So, I was really after Pk-Pk jitter for sample sizes from 1k points to 10 million. I never got past 500k - we couldn't keep the system stable long enough to make the measurement. From 1k to 500k, though, a plot of log(N) vs Jpk-pk^2 produced a nicely linear plot (more linear for larger N), just like theory predicts. Yes, for the nitpickers that read this, I'm assuming a Gaussian distribution. Yup, CMOS has a bad positive TC of delay versus temperature, in the vague ballpark of 1% of prop delay per degree C. Some of that can be compensated out with a temperature sensor driving something that affects delay, Vcc maybe, but that only gets you so far, 5:1 if you're lucky. The telecom boys call "jitter" to be the standard deviation of delay measured over 0.1 seconds, and anything slower is "wander." Sometimes a jitter contributor is deterministic, like power supply ripple or crosstalk or something. That tends to make the pdf less gaussian, so you'd have fewer extreme outliers. John |
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