Stochastic Jitter Measuring Device Using Cyclostationary Variance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing jitter measuring devices are complex, costly, and prone to errors due to their reliance on signal-to-noise ratio (SNR) measurements and fast Fourier transform (FFT), which are sensitive to noise and distortions.
Innovation Solution
A stochastic jitter measuring device that calculates cyclostationary variance and uses function fitting to determine jitter, eliminating the need for signal removal and being insensitive to stationary noise, with the ability to calculate the minimum number of samples required for accurate measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If SNR measurements and FFT are used for jitter measurement, then jitter can be measured, but the device becomes complex and costly
Solution Approach 1:
The patent extracts the essential statistical properties of the signal by computing cyclostationary variance and autocorrelation functions, eliminating the need for complex FFT processing and SNR measurements. This extraction approach isolates the jitter information from the noisy signal without requiring sophisticated signal separation techniques.
Solution Approach 2:
The patent replaces the mechanical/Fourier-based jitter measurement system with a statistical approach using cyclostationary variance and autocorrelation functions. This substitution eliminates the need for FFT algorithms and complex signal processing hardware, reducing device complexity while maintaining measurement accuracy.
2Measurement precision
If SNR measurements and FFT are used for jitter measurement, then jitter can be measured, but the device becomes prone to errors
Solution Approach 1:
The patent converts the harmful effect of noise and distortions into a beneficial statistical property by computing cyclostationary variance. Instead of trying to eliminate noise through FFT filtering, the method uses statistical averaging and autocorrelation functions to extract jitter information that is robust against noise, turning the noise problem into a strength through statistical processing.
Solution Approach 2:
The patent employs self-service principles by using the signal's own statistical properties (autocorrelation and cyclostationary variance) to measure jitter. The method requires no external reference signals or complex processing, relying solely on the signal's inherent characteristics to provide accurate and reliable measurements.
3Measurement precision
If multiple measurements at different frequencies are performed, then jitter measurement accuracy improves, but measurement time increases
Solution Approach 1:
The patent performs preliminary statistical processing by computing autocorrelation functions and cyclostationary variance at multiple frequencies in advance. This preliminary action allows the system to extract jitter information efficiently without requiring time-consuming real-time processing, reducing overall measurement time while maintaining accuracy through multi-frequency analysis.
Data Source
AI summary
A jitter measuring setup (10) comprises a signal generator (14), a sample-and-hold circuit (15), and the inventive all stochastic jitter measuring device (1) comprising signal acquisition means (2) and calculation means (3). The input signal of the sample-and-hold circuit (15) is generated by the signal generator (14). Furthermore, the output signal of the sample-and-hold circuit (15), respectively the input signal of the measuring device (1), is comprised of a superposition of the sampled input signal of the sample-and-hold circuit (15) and a cyclostationary random process.