Link Balancing Parameter Training Control Circuit for High-Speed Serial Links
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Solution Overview
Problem
High-speed serial links face issues with obtaining optimal link balancing parameters due to interference from unstable signals during the training process, leading to poor link eye diagrams and CRC errors.
Innovation Solution
A link balancing parameter training control circuit and method that includes a signal stability detection module and a shielding control module to stop and restart link balancing parameter training based on signal stability, ensuring training occurs during stable periods to avoid non-optimal parameter acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If link balancing parameter training is conducted during unstable signal periods, then training can be performed continuously, but non-optimal parameters are acquired leading to poor link performance
Solution Approach 1:
The patent applies preliminary action by detecting signal stability before initiating parameter training. The control circuit checks whether the optical signal is stable prior to starting the training process, ensuring that training only begins when conditions are favorable for obtaining optimal parameters, thereby preventing non-optimal parameter acquisition while maintaining efficient training execution
Solution Approach 2:
The patent implements feedback by continuously monitoring signal stability during the training process and using this information to control training execution. The control circuit receives feedback about signal conditions and adjusts training accordingly - starting training when stable and preventing it when unstable, thus resolving the contradiction between continuous training and parameter optimality
2Manufacturing precision
If parameter training is stopped during unstable periods and restarted after stability, then optimal parameters are obtained, but training time increases
Solution Approach 1:
The patent applies dynamics by making the training process adaptive to real-time signal conditions. Rather than using a fixed training schedule, the control circuit dynamically adjusts training execution based on monitored signal stability, enabling the system to optimize parameters efficiently when conditions permit while accepting temporary pauses only when necessary, thus balancing parameter optimality with training time
3Manufacturing precision
If signal stability detection and control modules are added, then parameter training accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by designing control circuit elements that perform multiple functions. The control circuit not only detects signal stability but also manages training start/stop decisions and coordinates parameter updates, thereby improving training accuracy while minimizing the increase in device complexity through multi-functional integration
Solution Approach 2:
The patent implements self-service by enabling the control circuit to automatically monitor signal stability and make decisions about training execution without external intervention. The system self-regulates the training process based on its own measurements of signal conditions, improving accuracy while keeping the control architecture relatively simple through autonomous operation
Data Source
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AI summary
Disclosed are a link balancing parameter training control circuit and a link balancing parameter training control method, including performing stability detection on serial data received by a receiving end of a high-speed serial link, and controlling a balancing control module of the high-speed serial link to stop link balancing parameter training in response to unstable serial signal being detected.