Differential Signal Response Sum Analysis via FFT Segmentation
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Solution Overview
Problem
Current methods lack effectiveness in quickly and accurately analyzing the response values sum of differential signals, particularly when the count of differential signals is large, which hinders the assessment of bit error rate (BER) and transmission performance in differential signal paths.
Innovation Solution
A system comprising a storage device and an analyzing module, including a simulator, analyzing sub-module, storage sub-module, and calculating sub-module, uses Fast Fourier Transform and Inverse Fast Fourier Transform algorithms to simulate differential signal paths, analyze channel modes, and calculate the response values sum of differential signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to analyze response values sum of differential signals, then the analysis can be performed, but the analysis is not quick and accurate when the count of differential signals is large
Solution Approach 1:
The patent segments the differential signal analysis into multiple channel modes (e.g., even mode and odd mode). Each channel mode is analyzed separately through simulation and transformation, and then the results are combined to obtain the overall response values sum. This segmentation allows for more efficient processing of large numbers of differential signals while maintaining accuracy.
2Reliability
If the count of differential signals is large, then the transmission performance assessment is more comprehensive, but the analysis becomes less efficient
Solution Approach 1:
The patent uses simulation to create virtual copies of the differential signal paths and performs analysis on these simulated models rather than directly analyzing each individual signal. The simulator generates simulated differential signal paths based on design files, allowing for comprehensive analysis of large signal counts without the computational burden of direct analysis.
Solution Approach 2:
The patent transforms the differential signal parameters through Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform (IFFT) operations. By changing the parameter representation domain (from time domain to frequency domain and back), the system can efficiently compute the response values sum for large numbers of signals while maintaining comprehensive transmission performance assessment.
3Measurement precision
If effective equipment/method is developed to quickly and exactly analyze response values sum, then the BER analysis can be improved, but the device complexity increases
Solution Approach 1:
The patent creates a multi-functional analyzing module that can handle various types of differential signal analyses through a unified framework. The module includes a simulator, analyzing sub-module, storage sub-module, and calculating sub-module that work together to perform simulation, analysis, storage, and computation functions. This universal approach allows the same system to analyze different channel modes and signal types without requiring separate dedicated equipment for each case.
Data Source
AI summary
A method for analyzing response values sum of differential signals includes: receiving configurations of simulation parameters; simulating differential signal paths with an analog transmission channel according to a design file; analyzing the analog transmission channel into different channel modes according to received configurations; simulating a plurality of pulse signals into the analog transmission channel according to the received configurations, and recording an impulse response of each of the channel modes; simulating differential signal transmissions of the differential signals according to the received configurations, and analyzing the differential signal transmissions into different signal modes corresponding to the different channel modes; transforming each signal mode and the impulse response of a corresponding channel mode to respectively generate a first value and a second value by utilizing Fast Fourier Transform Algorithm; multiplying the first value by the second value to generate a third value, and transforming the third value to a fourth value by utilizing an Inverse Fast Fourier Transform Algorithm; and summing all the fourth values corresponding to all of the channel modes to be the response values sum of the differential signals. A related system is also disclosed.