Digital Correlation Analysis for Signal Quality Monitoring
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Solution Overview
Problem
Existing signal quality monitoring methods are inadequate in accurately assessing digital signal quality, particularly in the presence of noise and distortion, especially in Ethernet networks, due to the sensitivity of correlation-based methods to interference like direct power injection (DPI).
Innovation Solution
A digital signal quality analysis system that correlates a received signal with a selected data pattern, using a predetermined or recovered pattern, to generate an indication of signal quality, adapting to scrambled and unscrambled portions of the signal by employing a multiplexer and logic circuit to select the appropriate pattern, and utilizing a signal quality analyzer with correlators and FIR filters to determine correlation-based quality metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If correlation-based signal quality monitoring is used, then signal quality assessment capability is provided, but sensitivity to interference like direct power injection (DPI) increases measurement precision degradation
Solution Approach 1:
The patent segments the signal quality monitoring process into multiple independent correlation calculations, each using different data patterns (predetermined patterns and recovered patterns). This segmentation allows the system to calculate multiple correlation values and select the most reliable one, reducing sensitivity to any single interference type like DPI while maintaining comprehensive signal quality assessment capability.
Solution Approach 2:
The patent changes the parameter of data pattern selection dynamically based on signal conditions. The system switches between using predetermined data patterns and recovered data patterns depending on the signal state, thereby adapting the correlation calculation parameters to minimize sensitivity to interference while maintaining measurement precision under varying conditions.
2Measurement precision
If adaptive pattern selection is implemented to handle scrambled and unscrambled portions, then signal quality monitoring accuracy is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal signal quality monitoring system that can handle both scrambled and unscrambled signal portions using the same basic correlation framework. The system uses a multiplexer to select between different data patterns (predetermined or recovered) based on signal conditions, allowing a single unified system to perform multiple functions without requiring separate dedicated circuits for each signal type, thus managing complexity while maintaining accuracy.
Solution Approach 2:
The patent introduces a multiplexer as an intermediary component that mediates between the different data pattern sources (predetermined patterns and recovered patterns) and the correlation calculator. This intermediary simplifies the overall system architecture by providing a single selection mechanism that directs the appropriate pattern to the correlation calculator, reducing the complexity that would otherwise arise from managing multiple parallel processing paths.
Data Source
AI summary
A method may include correlating a digital received signal with a selected data pattern, the selected data pattern comprising one of: a predetermined data pattern or a recovered data pattern; and providing an indication of quality that is proportional to a determined correlation between the digital received signal and the selected data pattern.