Signal Equalizer Edge Region Feedback Eye Diagram Convergence
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional signal equalizers, such as DFEs using LMS to calculate average standard voltage, often limit signal gain to avoid saturation, resulting in smaller overall signal amplitudes and poor waveform quality as indicated by the eye diagram.
Innovation Solution
A signal equalizer with a feedback system that acquires signal values from the edge region of an input signal and adjusts them based on the eye diagram's crossing part to converge it to a zero point, improving the eye diagram without limiting overall signal gain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional signal equalizers limit signal gain to avoid saturation, then signal saturation is avoided, but overall signal amplitudes become smaller and eye diagram quality deteriorates
Solution Approach 1:
The patent segments the signal processing into two independent parts: edge region processing and non-edge region processing. The feedback system selectively adjusts only edge region signal values to converge the eye diagram crossing part to zero, while leaving non-edge region signal values unchanged. This segmentation allows maintaining overall signal gain while improving eye diagram quality without causing saturation.
Solution Approach 2:
The patent applies local quality adjustment by modifying only the edge region signal values rather than uniformly adjusting the entire signal. The feedback system identifies edge regions and applies selective gain adjustment only to those portions, concentrating the equalization effect where needed (at the crossing part of the eye diagram) while preserving the amplitude of other signal portions.
2Measurement precision
If conventional signal equalizers adjust signal values to improve eye diagram, then eye diagram quality improves, but signal gain is limited and overall signal amplitudes decrease
Solution Approach 1:
The patent divides the signal into edge region and non-edge region components. The feedback system processes only the edge region to improve eye diagram quality, while the non-edge region maintains its original amplitude characteristics. This selective processing improves measurement precision (eye diagram quality) without sacrificing signal amplitude.
Solution Approach 2:
The patent applies different quality adjustments to different parts of the signal: edge regions are adjusted to converge the eye diagram crossing part to zero, improving eye diagram quality, while non-edge regions are left unchanged to maintain signal amplitude. This local differentiation resolves the contradiction between eye diagram quality and signal amplitude.
3Reliability
If feedback system adjusts edge region signal values to converge crossing part to zero, then eye diagram is improved without limiting overall signal gain, but device complexity increases
Solution Approach 1:
The patent extracts and processes only the essential component needed for eye diagram improvement: the edge region signal values. By taking out only the edge region processing from the overall signal processing, the system achieves eye diagram convergence without requiring complex full-signal processing, thus managing device complexity while improving reliability.
Solution Approach 2:
The feedback system uses the existing signal values and eye diagram crossing part information to automatically adjust edge region signal values. The system serves itself by using its own output (eye diagram characteristics) to control its input (signal adjustment), reducing the need for external complex control mechanisms.
Data Source
AI summary
A signal equalizer comprising: a feedback system, configured to acquire at least one signal value of an edge region of an input signal, and configured to adjust the signal value according to a crossing part of an eye diagram such that the crossing part converges to a zero point, wherein the crossing part corresponds to the edge region.