TXFIR Adaptation Loop With Adjustable Gain and Convergence Detection
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Solution Overview
Problem
High-speed data transmission above 8 Gbps is hindered by signal impairments like intersymbol interference and noise, making it difficult for receivers to maintain acceptable error performance, and existing adaptive techniques are too complex and time-consuming, especially during initialization.
Innovation Solution
A port with a filter having adjustable coefficients that uses a controller to iteratively adjust these coefficients based on error values and decision bits via a back-channel, employing multiple adaptation gain values and convergence windows to quickly adapt and determine coefficient convergence before protocol-specified time limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed TXFIR filter coefficients are used for high-speed data transmission, then device complexity is reduced, but initialization time increases significantly due to lengthy adaptation processes
Solution Approach 1:
The patent implements dynamic adaptation gain adjustment during the coefficient adaptation process. The adaptation gain is adjusted based on the convergence state of the coefficients, transitioning from higher gain values for faster initial convergence to lower gain values for fine-tuning. This dynamic adjustment optimizes both convergence speed and precision without requiring overly complex fixed mechanisms.
Solution Approach 2:
The patent employs feedback mechanisms to monitor coefficient convergence and adjust the adaptation process accordingly. By continuously monitoring the change in coefficient values and comparing them against convergence criteria, the system can determine when adaptation is complete and terminate the process early, significantly reducing initialization time while maintaining accuracy.
2Speed
If multiple adaptation gain values are used to accelerate coefficient convergence, then initialization speed improves, but device complexity increases due to additional control mechanisms
Solution Approach 1:
The patent segments the adaptation process into distinct phases with different adaptation gain values. The first phase uses a higher adaptation gain for rapid initial convergence, while subsequent phases use lower gains for fine-tuning. This segmentation allows the system to achieve fast convergence without requiring overly complex continuous control mechanisms.
Solution Approach 2:
The patent changes the adaptation gain parameter dynamically based on the convergence state of the coefficients. By adjusting this key parameter throughout the adaptation process, the system optimizes convergence speed at different stages without adding significant complexity to the control mechanism.
3Measurement precision
If longer adaptation time is allowed for TXFIR coefficient convergence, then coefficient accuracy improves, but data transmission delay increases
Solution Approach 1:
The patent uses feedback mechanisms to monitor coefficient convergence in real-time and terminate the adaptation process as soon as convergence criteria are met. This prevents unnecessary extended adaptation time while ensuring sufficient accuracy is achieved, optimizing the trade-off between precision and speed.
Solution Approach 2:
The patent implements dynamic adaptation gain adjustment that adapts to the convergence state. Higher gains are used when coefficients are far from convergence to accelerate the process, while lower gains are applied near convergence to ensure accuracy. This dynamic approach achieves both speed and precision without requiring excessively long adaptation times.
Data Source
AI summary
A communication port and method of adapting a transmit filter in the port to reduce receive errors by a receiver coupled to the transmit filter via a communication channel. The filter has coefficients that are adjusted in response to a first adaptation gain value, decision bits, and receiver error values. During a first time period, the coefficients are adjusted until changes in the coefficients are less than a first threshold amount. Then during a second time period, the coefficients are adjusted using a second adaptation gain value until changes in the coefficients are less than a second threshold amount. The second adaptation gain value is less than the first adaptation gain value and the second threshold amount being less than the first threshold amount. By using two or more adjustment periods with different gain values, the filter is adapted faster than using a single adjustment period with fixed adaptation gain.