Signal Receiving Apparatus Parameter Optimization Mechanism
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
As display interfaces like DisplayPort transition to higher bit rates, the receiving terminal faces challenges in maintaining signal receiving quality due to the lack of efficient signal evaluation mechanisms for optimizing equalization parameters.
Innovation Solution
A signal receiving apparatus and method incorporating a parameter optimization mechanism, which includes a signal processing circuit for equalization, a clock data recovery circuit, a multi-sampling circuit, and a parameter optimization circuit. This setup performs multi-phase and multi-threshold sampling to generate analysis results, including an eye diagram and bit error rate, to adjust equalization parameters accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data transmission bit rate is increased to meet higher resolution and color depth requirements, then bandwidth and transmission capability are improved, but signal receiving quality and data accuracy deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the receiving terminal performs signal quality evaluation (eye diagram analysis and bit error rate measurement) and feeds back parameter adjustment instructions to the transmitting terminal. The transmitting terminal adjusts transmission parameters (equalization coefficients, pre-emphasis settings) based on this feedback, creating a closed-loop system that maintains signal quality despite high transmission rates.
Solution Approach 2:
The patent dynamically changes transmission parameters including equalization coefficients, pre-emphasis settings, and sampling timing based on signal quality evaluation results. By adjusting these parameters in real-time according to channel conditions and transmission rate, the system optimizes signal integrity while maintaining high data transmission speeds.
2Reliability
If equalization parameters are manually configured to maintain signal quality, then signal receiving quality is preserved, but system complexity and configuration difficulty increase
Solution Approach 1:
The patent enables the system to automatically evaluate signal quality and adjust transmission parameters without manual intervention. The receiving terminal autonomously performs eye diagram analysis, measures bit error rate, and generates parameter adjustment instructions, while the transmitting terminal automatically applies these adjustments, making the system self-optimizing and eliminating complex manual configuration requirements.
Solution Approach 2:
The patent performs signal quality evaluation and parameter optimization in advance during link training phases before actual data transmission begins. By pre-adjusting equalization parameters and sampling timing based on initial signal characteristics, the system prepares optimal settings beforehand, avoiding the need for complex real-time manual configuration during operation.
3Measurement precision
If multiple sampling phases and threshold values are used for signal evaluation, then measurement precision and signal analysis accuracy are improved, but processing time and computational complexity increase
Solution Approach 1:
The patent segments the signal evaluation process into distinct phases: eye diagram analysis using multiple sampling phases, bit error rate measurement using multiple threshold values, and parameter adjustment generation. By dividing the comprehensive signal quality assessment into modular segments that can be performed systematically, the system achieves high measurement precision while managing processing time through structured, efficient evaluation sequences.
Data Source
AI summary
The present disclosure discloses a signal receiving apparatus having parameter optimization mechanism. A signal processing circuit processes a data signal according to at least one equalization parameter to generate an equalized data signal. A clock data recovery circuit performs clock data recovery on the equalized data signal according to a primary sampling signal and a primary threshold value to generate primary recovered data. A multi-sampling circuit performs clock data recovery on the equalized data signal according to secondary sampling signals and secondary threshold values to generate a plurality of pieces of secondary recovered data. A parameter optimization circuit performs comparison and statistics on the primary recovered data and the secondary recovered data to generate an analysis result to control the signal processing circuit to adjust the equalization parameter according to the analysis result and a predetermined optimized parameter requirement such that the analysis result approximates the predetermined optimized parameter requirement.