Non-linear Distortion Detection via Error Distribution Asymmetry
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Solution Overview
Problem
Detecting non-linear distortion in telecommunication signals is complex and costly, with existing methods requiring expensive equipment and significant technician effort, necessitating a simpler and more cost-effective approach.
Innovation Solution
A system comprising an error detector and logic that tracks signal errors over time, determining non-linear distortion by analyzing asymmetrical error distributions and calculating positive and negative error functions, providing a non-linear distortion indication when significant asymmetry is detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If non-linear echo canceller and non-linear equalization techniques are used to detect non-linear distortion, then detection capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts only the essential information needed for distortion detection by analyzing error distribution patterns from existing signal data, rather than implementing complex non-linear echo canceller or equalization techniques. This allows detection of non-linear distortion by examining whether error distribution is uniform or non-uniform, significantly reducing system complexity while maintaining detection capability.
Solution Approach 2:
The patent uses existing error data that is already being collected by standard communication systems and repurposes it for distortion detection analysis. By copying and re-analyzing existing error distribution information rather than implementing separate complex detection hardware, the system achieves distortion detection without increasing device complexity.
2Measurement precision
If TIMS equipment is used to detect non-linear distortion, then detection accuracy is improved, but cost and technician effort increase
Solution Approach 1:
The patent enables communication systems to automatically detect and diagnose non-linear distortion using their own existing error data and processing capabilities. This self-service approach eliminates the need for external TIMS equipment and reduces technician intervention to simply observing system-generated diagnostic information, thereby improving ease of operation while maintaining detection accuracy.
Solution Approach 2:
The patent makes existing communication system components perform multiple functions, including both standard communication operations and non-linear distortion detection. By analyzing error distribution patterns from regular signal processing, the system achieves multi-functionality without requiring separate specialized equipment, reducing both cost and operational complexity.
3Device complexity
If simpler detection approaches are used, then cost and complexity are reduced, but detection capability may be compromised
Solution Approach 1:
The patent changes the parameter being analyzed from complex signal characteristics to simple error distribution patterns. By examining whether error distribution is uniform or non-uniform rather than analyzing complex non-linear signal properties, the system achieves distortion detection with simple computational methods, maintaining detection capability while minimizing device complexity.
Data Source
AI summary
A system for detecting non-linear distortion comprises an error detector and logic. The error detector is configured to estimate signal errors associated with signals communicated across a telecommunication line. The logic is configured to track the signal errors and to detect whether the signals are subject to non-linear distortion based on a history of the signal errors.