Zero-Crossing Signal Measurement for Accurate Noise RMS and SNR
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Solution Overview
Problem
Existing methods lack accurate and efficient real-time measurement of Noise RMS and signal-to-noise ratio for periodic and sinusoidal signals, particularly in the presence of harmonics, leading to unclear and inaccurate signal demodulation.
Innovation Solution
A method involving zero-crossing time series analysis, digital integration, and interpolation techniques to determine integration starting and ending points, followed by noise and signal-to-noise ratio calculations, enhancing measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional noise measurement methods are used for periodic signals with harmonics, then the measurement process is simple, but the measurement accuracy is insufficient
Solution Approach 1:
The patent segments the periodic signal into multiple periods and performs separate analysis on each period. By dividing the signal into discrete periods and analyzing zero-crossing points within each period, the method achieves more accurate noise RMS measurement while managing computational complexity through structured segmentation of the measurement process.
Solution Approach 2:
The patent performs preliminary actions by pre-calculating zero-crossing time series and identifying integration starting and ending points before the actual noise measurement. This preliminary analysis of signal characteristics enables more accurate subsequent measurements without significantly increasing overall process complexity.
2Productivity
If real-time noise detection is implemented, then the signal quality can be monitored continuously, but the calculation amount becomes excessive
Solution Approach 1:
The patent extracts only the essential features needed for noise measurement - specifically zero-crossing points and their time series - from the complete signal. By taking out only these critical elements rather than processing the entire signal, the method achieves real-time measurement capability with reduced calculation requirements.
Solution Approach 2:
The patent applies partial action by performing measurements on selected periods and using representative samples rather than processing every single data point. This approach provides sufficient real-time measurement accuracy without the excessive computational burden of analyzing every signal component.
3Measurement precision
If signal-to-noise ratio measurement is performed on high-frequency sinusoidal signals, then the system performance can be evaluated, but accurate measurement processes do not exist in prior art
Solution Approach 1:
The patent introduces zero-crossing time series as an intermediary element that facilitates accurate signal-to-noise ratio measurement. By using zero-crossing points as a mediator between the high-frequency sinusoidal signal and the measurement process, the method achieves accurate SNR evaluation while simplifying the overall measurement difficulty.
Solution Approach 2:
The patent changes the measurement parameter from direct amplitude analysis to zero-crossing time series analysis. This parameter transformation enables accurate signal-to-noise ratio measurement of high-frequency signals by converting the measurement problem into a time-based analysis that is more tractable and accurate.
Data Source
AI summary
The present application relates to a method for measuring a Noise RMS of a periodic signal and a signal-to-noise ratio of a sinusoidal signal. The technical points of the method comprise: respectively executing signal noise measurement on a target periodic digital signal and a target periodic analog signal; obtaining a series of zero-crossing points of electrical signals, performing analog-to-digital conversion once at a relative time determined by means of the series of zero-crossing points; and further calculating the noise of the periodic signals by means of a series of analog-to-digital conversion results. The method further comprises: respectively executing signal-to-noise ratio measurement on a target sinusoidal digital signal and a target sinusoidal analog signal; obtaining a series of zero-crossing points of electrical signals; according to each zero-crossing point, calculating the frequency or period of the electric signal; and then performing calculation to obtain a signal-to-noise ratio of a sinusoidal signal.