Signal Integrity Analysis Using Repeating PON Frame Patterns
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Solution Overview
Problem
Existing communication systems, particularly in passive optical networks (PON), face challenges in performing signal integrity analysis on data traffic using sampling oscilloscopes due to the absence of periodic test patterns, which are necessary for traditional waveform reconstruction and metric computation methods like EYE-EQ and TDEC-EQ.
Innovation Solution
The system determines the position of repeating symbol patterns within fixed-size protocol frames using cross-correlation or convolution, extracts waveforms, and calculates signal integrity metrics like EYE-EQ and TDEC-EQ directly from data traffic by leveraging protocols with known symbol patterns, such as PSync, SFC, and OC structures in PON frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional waveform reconstruction methods are used on data traffic, then signal integrity metrics can be computed, but periodic test patterns are required which are absent in live data traffic
Solution Approach 1:
The patent creates a virtual periodic waveform by copying and aligning repeating symbol patterns from multiple protocol frames. The repeating symbol pattern location function identifies positions of known patterns across frames, and the waveform reconstruction function extracts and aligns these patterns to synthesize a periodic waveform that mimics test signal behavior, enabling metric computation on live data traffic without actual test patterns
Solution Approach 2:
The patent segments the live data traffic into individual protocol frames and further identifies repeating symbol patterns within each frame. By dividing the continuous data stream into discrete, analyzable units with known structures, the system can extract meaningful waveforms from each segment and reconstruct a representative periodic signal for integrity analysis
2Measurement precision
If repeating symbol patterns are used to extract waveforms, then signal integrity analysis is enabled on data traffic, but additional processing steps are required to locate and extract patterns
Solution Approach 1:
The patent performs preliminary actions by pre-identifying the locations of repeating symbol patterns within protocol frames using known pattern structures. The repeating symbol pattern location function uses cross-correlation or convolution with known patterns to pre-map pattern positions before waveform extraction, reducing the complexity of the subsequent extraction and analysis steps
Solution Approach 2:
The patent introduces an intermediary repeating symbol pattern as a bridge between the raw data traffic and the waveform reconstruction process. This known pattern structure serves as a mediator that can be reliably identified and extracted from frames, then used to generate the periodic waveform needed for signal integrity metrics, simplifying the overall analysis chain
Data Source
AI summary
Various example embodiments of a signal analysis capability are presented herein. The signal analysis capability may be configured to support analysis of a signal for determining the signal integrity of the signal, where the signal integrity of the signal corresponds to a set of one or more measures of the quality of an electrical signal (e.g., one or more signal integrity metrics indicative of the signal integrity of the signal). The signal analysis capability may be configured to support analysis of a signal for determining the signal integrity of the signal for various types of signals which may be communicated within various types of communication networks. The signal analysis capability may be configured to support analysis of a signal for determining the signal integrity of the signal where the signal may include various types of data traffic (e.g., live data traffic, user data traffic, test data traffic, or the like).