Serial Receiver Eye-Opening Metrics for Fast Parameter Tuning
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Solution Overview
Problem
Existing methods for adjusting parameters in serial data receivers, such as data slicer thresholds and clock skews, converge slowly when bit error rates are low, leading to inefficient performance optimization.
Innovation Solution
An iterative adjustment method for data slicer thresholds and continuous time linear equalizer (CTLE) parameters, using a gradient descent approach to quickly estimate optimal eye openings and clock skews, centered between analog signal levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional bit error rate measurement methods are used to assess and adjust serial link parameters, then parameter optimization can be achieved, but the process becomes time-consuming especially when bit error rate is low
Solution Approach 1:
The patent uses artificial eye opening metrics as a temporary, computationally inexpensive substitute for actual bit error rate measurement. By creating synthetic eye diagrams from received signal samples and calculating geometric properties (eye height, eye width, area), the system obtains rapid performance estimates without requiring lengthy BER testing, thus resolving the time-consuming nature of traditional measurement while maintaining optimization accuracy
Solution Approach 2:
The patent replaces the mechanical/time-consuming process of actual data transmission and error counting with a computational model that generates artificial eye openings from signal samples. This substitution uses mathematical calculations (standard deviations, geometric intersections) instead of physical BER measurement, dramatically reducing testing time while preserving the ability to assess link quality and guide parameter optimization
2Measurement precision
If parameter adjustment processes are slowed down to ensure accuracy, then measurement precision improves, but productivity decreases
Solution Approach 1:
The patent applies partial action by using only the essential geometric features of eye diagrams (height, width, area calculated from standard deviations) rather than performing complete BER measurement protocols. This partial measurement approach captures the critical information needed for parameter optimization while executing much faster, thus improving productivity without sacrificing the precision needed for accurate assessment
Solution Approach 2:
The patent transforms the measurement approach by changing from time-domain BER counting to geometric parameter extraction from artificial eye openings. By calculating eye height as 2*std_dev, eye width from crossing points, and eye area from geometric intersections, the system obtains precise quantitative metrics rapidly, enabling both high measurement precision and fast optimization cycles
Data Source
AI summary
A system and method for configuring a serial receiver. In some embodiments, the method, includes: setting a threshold of a data slicer to a first threshold value; receiving, by the data slicer, a first data value; and setting the threshold of the data slicer to a second threshold value, the second threshold value being equal to the first threshold value plus a first adjustment, the first adjustment having the same sign as the first data value minus the first threshold value.