Calculate Oscillator Jitter By Using Phase-noise Analysis Part 1






Calculate Oscillator Jitter by Using Phase-Noise Analysis Part 1


Calculate Oscillator Jitter by Using Phase-Noise Analysis Part 1

Convert Frequency Domain Phase Noise to Time Domain RMS Jitter


Frequency of the oscillator signal (e.g., 156.25 MHz).


Integration start offset (e.g., 12 kHz).


Integration stop offset (e.g., 20 MHz).


Phase noise level at the starting offset.


Phase noise level at the ending offset.


RMS Time Jitter ($t_{rms}$)

0.00 fs

Integrated Phase Power

-0.00 dBc

Phase Variance ($\Delta\phi^2$)

0.00 rad²

RMS Phase Jitter

0.00 °

Formula: $t_{rms} = \frac{\sqrt{2 \cdot \int_{f_1}^{f_2} 10^{L(f)/10} df}}{2 \pi f_c}$

Phase Noise Mask Visualization

Log Offset Frequency (Hz) Phase Noise (dBc/Hz)

Visual representation of the integrated phase noise slope.


Table 1: Comparison of Jitter Metrics
Metric Value Unit Description

What is Calculate Oscillator Jitter by Using Phase-Noise Analysis Part 1?

In high-speed digital communications and RF engineering, understanding the relationship between frequency domain noise and time domain instability is crucial. To calculate oscillator jitter by using phase-noise analysis part 1 refers to the fundamental process of integrating the Power Spectral Density (PSD) of phase fluctuations over a specific frequency band to derive the Root Mean Square (RMS) jitter.

This technique is used by hardware engineers, clocking specialists, and system designers to ensure that timing references meet the stringent requirements of standards like PCIe, Ethernet, or 5G NR. A common misconception is that phase noise and jitter are different phenomena; in reality, jitter is simply the time-domain manifestation of the phase noise observed in the frequency domain.

Calculate Oscillator Jitter by Using Phase-Noise Analysis Part 1 Formula and Mathematical Explanation

The conversion relies on the integration of the phase noise function $L(f)$, which is expressed in dBc/Hz. The derivation follows these steps:

  1. Linearize Phase Noise: Convert dBc/Hz to a linear ratio: $S(f) = 10^{L(f)/10}$.
  2. Determine the Slope: For a segment between $f_1$ and $f_2$, calculate the slope $a$ in log-log space.
  3. Integrate: The total phase power (double sideband) is $P = 2 \cdot \int_{f_1}^{f_2} S(f) df$.
  4. RMS Phase Error: $\Phi_{rms} = \sqrt{P}$ (radians).
  5. RMS Time Jitter: $J_{rms} = \frac{\Phi_{rms}}{2 \pi f_c}$.
Variable Meaning Unit Typical Range
$f_c$ Carrier Frequency Hz / MHz 10 MHz – 10 GHz
$L(f)$ Phase Noise Density dBc/Hz -80 to -170 dBc/Hz
$f_1, f_2$ Integration Limits Hz 12 kHz – 20 MHz
$J_{rms}$ RMS Time Jitter fs / ps 50 fs – 100 ps

Practical Examples (Real-World Use Cases)

Example 1: Ethernet Reference Clock

An engineer needs to calculate oscillator jitter by using phase-noise analysis part 1 for a 156.25 MHz MEMS oscillator. The phase noise at 12 kHz is -115 dBc/Hz and at 20 MHz it is -148 dBc/Hz. By integrating over this “brick wall” filter, the result is approximately 150 femtoseconds (fs). This confirms the clock is suitable for 10GbE applications.

Example 2: High-Speed FPGA SerDes

For a 10 GHz carrier with a very low noise floor of -155 dBc/Hz at 10 MHz offset, the RMS jitter might be calculated as low as 20 fs. Such low jitter is mandatory for 112G PAM4 signaling where the eye opening is extremely narrow.

How to Use This Calculate Oscillator Jitter by Using Phase-Noise Analysis Part 1 Calculator

  1. Enter Carrier Frequency: Select MHz or GHz and input your oscillator’s base frequency.
  2. Define Integration Limits: Input $f_1$ (start) and $f_2$ (stop). These are usually defined by the communication standard (e.g., 12kHz to 20MHz).
  3. Input Phase Noise Data: Provide the measured dBc/Hz values at the start and end frequencies.
  4. Analyze Results: The tool will automatically update the RMS jitter in femtoseconds (fs) or picoseconds (ps).
  5. Visualize: Check the SVG chart to see the slope of the noise power being integrated.

Key Factors That Affect Calculate Oscillator Jitter by Using Phase-Noise Analysis Part 1 Results

  • Carrier Frequency: Higher carrier frequencies result in lower time jitter for the same phase error, as the period is shorter.
  • Integration Bandwidth: Widening the limits ($f_1$ to $f_2$) captures more noise, increasing the jitter.
  • Phase Noise Slope: A steeper roll-off (e.g., -30 dB/decade) significantly reduces integrated power compared to a flat floor.
  • Close-in Noise: Noise near the carrier (low offset) usually contributes most to the total integrated phase error.
  • Thermal Noise Floor: The “white noise” floor at high offsets limits the best possible jitter performance.
  • Spurs: While this Part 1 tool focuses on the continuous slope, discrete spurs (peaks) in a real-world spectrum can dominate jitter.

Frequently Asked Questions (FAQ)

1. Why do we multiply the integral by 2?

Phase noise $L(f)$ is usually measured as Single Sideband (SSB). Jitter affects both sides of the carrier, so we integrate the Double Sideband (DSB) power.

2. What is the difference between RMS Jitter and Peak-to-Peak Jitter?

RMS is the standard deviation. Peak-to-peak is often estimated as $14 \times$ RMS for a Bit Error Rate (BER) of $10^{-12}$.

3. Can I use this for any oscillator?

Yes, as long as you have two phase noise data points to define a slope for the calculate oscillator jitter by using phase-noise analysis part 1 process.

4. Why is 12 kHz to 20 MHz a common range?

This range was historically defined by SONET/SDH standards and has remained a benchmark for many high-speed serial links.

5. Does temperature affect these results?

Absolutely. Thermal noise increases with temperature, which generally degrades the phase noise floor and increases jitter.

6. What is dBc/Hz?

It stands for decibels relative to the carrier per 1 Hz of bandwidth. It is the unit of power spectral density for phase noise.

7. How does PLL bandwidth relate to this?

A PLL acts as a filter. Integrating phase noise only within or outside the PLL bandwidth helps determine the jitter contribution of specific components.

8. Is low jitter always better?

Generally yes, but achieving ultra-low jitter often comes with higher power consumption and component cost.

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