Receiver Eye Pattern Control for Stable Parameter Optimization
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Solution Overview
Problem
Existing receiver devices face challenges in balancing control parameters to achieve stable optimization results due to the complexity of adaptive algorithms and interactions between parameters, leading to difficulties in achieving optimal performance.
Innovation Solution
An eye pattern-based control parameter adjustment method is introduced, where a control circuit performs iterative operations to determine optimized control parameters by updating candidate control parameters, checking the relationship between the optimized eye mask and the current eye pattern, and adjusting the eye mask and control parameters accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If adaptive algorithms based on signal theory (e.g., LMS algorithm) are used to dynamically adjust control parameters, then the receiver device can process input signals, but the algorithm complexity increases and large chip area is required
Solution Approach 1:
The patent replaces complex software-based adaptive algorithms (LMS algorithm) with a hardware-based eye pattern generator and comparator circuit. This substitution transfers the control parameter adjustment function from the digital signal processing domain to the analog domain, significantly reducing computational complexity and chip area while maintaining the ability to dynamically adjust control parameters for optimal signal reception
Solution Approach 2:
The patent creates a simplified analog model (eye pattern) that replicates the essential characteristics of signal quality without requiring full signal processing. By generating an eye pattern that mirrors the signal's temporal and amplitude characteristics, the system can determine optimal control parameters through simple geometric comparison rather than complex mathematical computation
2Measurement precision
If multiple control parameters are adjusted simultaneously to optimize receiver performance, then better signal recovery is achieved, but parameter interactions make it difficult to control the balance and obtain stable optimization results
Solution Approach 1:
The patent merges multiple control parameter adjustments into a single unified control mechanism. The eye pattern generator simultaneously processes multiple control parameters and produces a single eye pattern output that represents the combined effect of all parameters. This allows the system to optimize multiple parameters together through a single comparator circuit, eliminating the instability caused by parameter interactions while maintaining high signal recovery quality
3Adaptability or versatility
If different bandwidths and calibration sequences are used in adaptive algorithms, then various optimization scenarios can be addressed, but the results vary and consistent optimization is difficult to achieve
Solution Approach 1:
The patent designs the eye pattern generator to be universally applicable across different bandwidths and calibration sequences. The analog circuit automatically adapts to various input conditions without requiring separate optimization procedures. The eye pattern's geometric characteristics naturally reflect the signal quality under any bandwidth or calibration sequence configuration, providing consistent and reliable optimization results regardless of the specific operating conditions
Data Source
AI summary
A receiver device and an eye pattern-based control parameter adjustment method are provided. The receiver device includes a receiving circuit and a control circuit. The control circuit performs an iterative operation to determine an optimized control parameter, and updates current control parameters of the receiving circuit to the optimized control parameter after completing the iterative operation. The receiving circuit processes an input signal according to the current control parameters to generate recovered data. The iterative operation includes: updating the current control parameters of the receiving circuit to candidate control parameters; checking a size relationship between an optimized eye mask and a current eye pattern; and increasing the optimized eye mask according to the current eye pattern when the optimized eye mask does not conflict with the current eye pattern, and updating the optimized control parameters to the candidate control parameters corresponding to the new eye mask.