Adaptive Correlation Circuit for Crosstalk-Induced Jitter Skew
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Solution Overview
Problem
Current information handling systems face challenges in maintaining data integrity at high clock rates due to crosstalk-induced jitter timing skew, which is exacerbated by simultaneous switching noise and electromagnetic interference, with existing methodologies failing to effectively quantify and minimize this issue, especially in high-speed serial technologies.
Innovation Solution
The implementation of a non-linear canonical adaptive correlation analysis technique to dynamically quantify and minimize crosstalk-induced jitter timing skew by employing strong-coupling theory, rather than the limited weak-coupling approach, using a non-linear adaptive canonical correlation analysis circuit to improve set-up and hold timing margins on high-speed data buses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If weak-coupling theory is used to compute crosstalk noise, then computation is simpler, but measurement precision deteriorates due to unaccounted victim-to-aggressor coupling
Solution Approach 1:
The patent implements an iterative feedback mechanism where the victim signal is treated as an aggressor in subsequent iterations. The computed victim-to-aggressor crosstalk is fed back into the system to be recomputed in the next iteration, progressively accounting for mutual coupling effects until convergence is achieved, thereby resolving the precision limitation of single-pass weak-coupling theory
Solution Approach 2:
The system uses the victim signal itself as the aggressor signal in iterative computations. By treating the victim's own signal transitions as sources of crosstalk in subsequent iterations, the method enables the system to self-account for mutual coupling effects without requiring external test equipment or additional signal sources
2Productivity
If clock frequencies are increased to improve productivity, then processing speed improves, but crosstalk-induced timing skew worsens
Solution Approach 1:
The patent transitions from static crosstalk computation to dynamic iterative computation that adapts to actual signal conditions. The method dynamically updates crosstalk estimates based on real signal transitions and timing relationships, allowing the system to maintain accuracy at higher clock frequencies where static assumptions break down
Solution Approach 2:
The patent replaces physical measurement methods with computational analysis. By substituting empirical measurement with iterative mathematical computation based on strong-coupling theory, the system can accurately characterize crosstalk at high frequencies without being limited by measurement equipment bandwidth or signal degradation
3Productivity
If parallelism of signal conductors is increased to improve data throughput, then productivity improves, but crosstalk coupling increases
Solution Approach 1:
The iterative computation framework provides feedback loops that capture mutual coupling effects between parallel conductors. Each iteration accounts for the cumulative effect of multiple aggressor signals on victim lines, enabling accurate characterization of crosstalk in high-density parallel conductor configurations
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach results in a 24.8% improvement in timing budget, equivalent to approximately 36.2 picoseconds, by effectively addressing unaccounted jitter timing skew, outperforming traditional static methods in minimizing dynamic crosstalk noise.
Implementation Method 1
Crosstalk is localized electromagnetic interference (EMI), via capacitive and inductive coupling mechanisms, from one circuit that affects the signals in an adjacent circuit.
Implementation Method 2
Crosstalk is localized electromagnetic interference (EMI), via capacitive and inductive coupling mechanisms, from one circuit that affects the signals in an adjacent circuit.
Implementation Method 3
Crosstalk is localized electromagnetic interference (EMI), via capacitive and inductive coupling mechanisms, from one circuit that affects the signals in an adjacent circuit.
Implementation Method 4
Timing skew (TS), the uncertainty in the arrival of a signal edge, are typically influenced by the effects of crosstalk, simultaneous switching noise (SSN), data and clock jitter, and electromagnetic interference (EMI) among others.
Data Source
AI summary
A digital signal waveform receiving circuit may be processed by a non-linear adaptive canonical correlation analysis circuit that may quantify and minimize crosstalk-induced jitter timing skew for improving set-up and hold timing margins of data streams on the receiving circuit. A non-linear adaptive canonical correlation analysis circuit may be placed between an incoming digital signal from a serial link and a PHY receiving layer of an information handling system 100. The PHY receiving layer of the information handling system may be coupled to the non-linear adaptive canonical correlation analysis circuit or may be coupled to the digital signal. This coupling selection may be automatically programmed depending on received signal cross-talk-induced jitter timing skew or may be programmed by a user of the information handling system.