S-RIO Channel Equalization Using Adaptive 8B10B Error Feedback
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Solution Overview
Problem
In high-speed RapidIO based communication systems, especially those with long-reach serial links running at or higher than 6.25 Gbaud, the received signal degrades due to ISI (inter symbol interference) caused by excessive reflection, attenuation, and channel delay, and fixed coefficient settings are insufficient to compensate for these imperfections, leading to high error rates.
Innovation Solution
An adaptive channel equalization method that dynamically adjusts transmit pre-emphasis and receive equalization coefficients using automatic scanning and error metric-based techniques, such as the 8B10B error metric, to improve signal quality and reduce bit error rates, employing techniques like Least Mean Square (LMS) approaches and hybrid hardware-software implementations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed coefficient settings are used for transmit pre-emphasis and receive equalization, then device complexity is reduced and ease of operation is improved, but signal quality deteriorates and bit error rate increases for long-reach channels at high speeds
Solution Approach 1:
The patent implements dynamic coefficient adjustment by introducing adaptive equalization mechanisms that automatically scan and optimize transmit pre-emphasis and receive equalization coefficients based on real-time channel conditions. This transforms the static fixed coefficient system into a dynamic adaptive system, resolving the contradiction between operational simplicity and signal quality for long-reach high-speed channels.
Solution Approach 2:
The patent employs feedback-based optimization where the system continuously monitors channel performance and adjusts coefficients accordingly. The adaptive equalization process uses measured channel characteristics to iteratively refine coefficient values, ensuring optimal signal quality while maintaining automated operation that preserves ease of use.
2Reliability
If adaptive coefficient adjustment is implemented to improve signal quality, then reliability is improved, but device complexity increases due to additional scanning and optimization mechanisms
Solution Approach 1:
The patent implements self-service adaptive equalization where the system automatically performs coefficient scanning, optimization, and adjustment without requiring external intervention or complex control interfaces. The equalization mechanism self-calibrates based on channel conditions, improving signal quality while minimizing the operational complexity burden on the user.
Solution Approach 2:
The patent performs preliminary coefficient scanning and optimization during system initialization or link establishment phases. By pre-configuring optimal coefficients before actual data transmission begins, the system reduces the complexity of real-time adjustments while ensuring high signal quality from the start of operational phases.
3Reliability
If continuous adaptive equalization is performed to maintain signal quality under varying channel conditions, then reliability is improved, but power consumption increases
Solution Approach 1:
The patent implements periodic adaptive equalization where coefficient scanning and optimization are performed at scheduled intervals or triggered by specific events such as channel condition changes, rather than continuously. This periodic approach maintains signal quality under varying conditions while significantly reducing average power consumption compared to continuous adaptation.
Solution Approach 2:
The patent maintains continuous monitoring of channel conditions but performs intensive coefficient adjustment only when degradation is detected. This hybrid approach ensures continuous protection of signal quality while minimizing the activation of power-intensive equalization mechanisms, optimizing the balance between reliability and power consumption.
Data Source
AI summary
A Method and Apparatus for Channel Equalization in High Speed S-RIO based Communication Systems have been disclosed. By adjusting equalizer coefficients based on 8B10B error counts and an error threshold, a receiver may be dynamically adjusted. By adjusting transmitter pre-emphasis based on 8B10B error counts and an error threshold, a transmitter may be dynamically adjusted. Both the transmitter and receiver may be adjusted dynamically based on 8B10B error counts and different error thresholds.