Receiver Signal Quality Evaluation for Adaptive DVI Tuning
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Solution Overview
Problem
The DVI standard's signal transmission quality evaluation methods, such as U.S. Pat. No. 5,905,769, fail to effectively adjust circuit settings at the receiving end to optimize signal reception under varying transmission conditions like different line lengths and frequencies, as the receiving end cannot accurately assess the correctness and optimize settings for the incoming image data.
Innovation Solution
A method that assesses signal transmission quality by counting transitions in a digital signal within a predetermined time interval, determining quality based on these counts, and adjusting circuit parameters such as equalizers and impedance matching circuits to optimize signal processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the receiving end uses the same circuit settings to receive data under different transmission situations, then the device complexity is reduced, but the signal transmission quality deteriorates due to varying transmission conditions
Solution Approach 1:
The patent implements dynamic adjustment of circuit parameters at the receiving end based on real-time signal quality assessment. The equalizer coefficients and phase lock loop parameters are continuously optimized according to the assessed transmission quality, allowing the system to adapt to varying transmission conditions such as different line lengths and frequencies, thereby resolving the contradiction between fixed settings and variable conditions
Solution Approach 2:
The patent introduces a feedback mechanism where the receiving end assesses signal transmission quality by counting transitions in the received digital signal. Based on this assessment, the system automatically adjusts circuit parameters and feeds back the optimized settings, creating a closed-loop control system that continuously improves signal quality without increasing overall device complexity
2Reliability
If the receiving end makes optimized adjustment corresponding to the present situation, then the signal transmission quality is improved, but the device complexity increases due to additional adjustment mechanisms
Solution Approach 1:
The patent enables the receiving end to autonomously assess signal quality and adjust its own circuit parameters without external intervention. The system self-services by counting transitions in the received signal, determining transmission quality, and automatically optimizing equalizer and phase lock loop settings, thereby improving signal quality without requiring complex external adjustment mechanisms
Solution Approach 2:
The patent focuses on changing key circuit parameters such as equalizer coefficients and phase lock loop settings based on signal quality assessment. By dynamically adjusting these specific parameters rather than redesigning the entire circuit architecture, the system achieves improved signal transmission quality with minimal increase in device complexity
3Reliability
If conventional data recovery methods are used to improve signal quality, then some signal quality improvement is achieved, but the ability to make optimized adjustment according to present situation is lost
Solution Approach 1:
The patent replaces conventional open-loop data recovery methods with a closed-loop feedback system. The receiving end continuously assesses signal transmission quality by counting transitions in the received digital signal and uses this feedback to dynamically adjust circuit parameters, thereby achieving both signal quality improvement and adaptability to varying transmission conditions
Solution Approach 2:
The patent performs preliminary assessment of signal transmission quality before final data recovery. By counting transitions in the received signal and determining transmission quality in advance, the system can pre-adjust circuit parameters to optimal settings before completing the data recovery process, ensuring both quality improvement and situational adaptability
Data Source
AI summary
A method to assess signal transmission quality and the adjust method thereof are proposed. First, different time points of a control signal at a receiving end are acquired and the number of signal transitions in a predetermined time interval is counted. Next, the number of signal transitions is recorded and compared to a reference value to obtain a comparison result. The quality of the control signal is then determined based on the comparison result. The parameter setting of the receiving end is adjusted according to the quality of the control signal received by the receiving end to get a better performance setting.