Time-Dependent Line Equalizer for Data Transmission
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Solution Overview
Problem
High data rate transmission systems face limitations in achievable clock accuracy, leading to degraded bit-error rate (BER) and limited maximum data rate due to practical limitations in clock accuracy, which existing equalization techniques like FFE/CTE/DFE struggle to overcome effectively.
Innovation Solution
A data equalization system with dynamically modulated tap weights, synchronized with each transmission symbol, is introduced, allowing for time-dependent equalization across a wider time span, improving ISI compensation and jitter tolerance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional FFE/CTE/DFE equalization techniques are used, then ISI is removed at one specific time point, but clock accuracy limitations cause sampling errors and degraded BER
Solution Approach 1:
The patent applies dynamics by transitioning from static tap weights to dynamically time-varying tap weights that change continuously across the symbol period. The equalizer adapts its coefficients in real-time to track the optimal sampling point, resolving the contradiction between measurement precision and reliability under clock jitter conditions.
Solution Approach 2:
The patent changes the parameter of tap weights from constant to time-dependent variables. By making the equalization parameters dynamic and synchronized with the data clock, the system compensates for sampling timing errors and maintains low BER despite clock accuracy limitations.
2Productivity
If data rate is increased to 100 Gb/s and beyond, then transmission capacity is improved, but clock accuracy becomes insufficient and limits maximum achievable data rate
Solution Approach 1:
The patent enables high data rates by implementing dynamic equalization that adapts to timing variations. The time-dependent tap weights track the optimal sampling instant throughout each symbol period, allowing the system to maintain measurement precision even as clock accuracy becomes insufficient at 100 Gb/s and beyond.
Solution Approach 2:
The patent employs feedback mechanisms where the dynamic tap weights are adjusted based on the received signal characteristics and timing information. This feedback loop allows the equalizer to continuously optimize its performance, enabling higher data rates despite limited clock accuracy.
3Device complexity
If static tap weights are used in FFE, then system complexity is reduced, but jitter tolerance is limited and HEYE margin is small
Solution Approach 1:
The patent introduces dynamics into the equalization system by making tap weights time-dependent. This increases device complexity but dramatically improves jitter tolerance and HEYE margin by allowing the equalizer to track timing variations throughout the symbol period.
Solution Approach 2:
The patent changes the tap weight parameters from static to dynamic values that vary with time within each symbol period. This parameter transformation enables the system to tolerate larger timing variations while maintaining equalization performance, thereby improving reliability.
Data Source
AI summary
A data equalization system includes a data clock input configured to receive a clock signal. There is an input node operative to receive a data signal of transmission symbols that change state synchronously with the clock signal. There is a first tap coupled to the input node. A second tap is configured to receive a variation of the data signal. At least one of a weight of the first tap or a weight of the second tap is modulated by a dynamic control parameter that repeats synchronously with each transmission symbol.