Crossing Slicer DFE via Interpolated Weights
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Solution Overview
Problem
Existing systems fail to accurately mitigate inter-symbol interference in crossing slicers due to inaccurate tap estimates from data slicers, which sample at different times, leading to uncorrected signal errors.
Innovation Solution
Implementing decision feedback equalization for crossing slicers using interpolated crossing weights derived from data weights, allowing for accurate correction of inter-symbol interference by forming crossing taps from previously received bit values and weights through methods like linear, cubic, or spline interpolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If data slicer taps are used for crossing slicer correction, then device complexity is reduced, but measurement precision deteriorates due to sampling time differences
Solution Approach 1:
The patent segments the DFE structure into two independent parts: data slicer DFE and crossing slicer DFE. Each has its own weight set (data weights and crossing weights respectively), allowing independent optimization for each slicer's specific sampling timing requirements while maintaining overall system functionality
Solution Approach 2:
The patent applies local quality by using interpolation to generate crossing weights that are specifically tailored to the crossing slicer's sampling point. This creates locally optimized correction parameters for the crossing slicer based on the channel impulse response at that specific timing, rather than using generic data weights
2Measurement precision
If separate crossing weights are calculated, then correction accuracy improves, but device complexity increases
Solution Approach 1:
The patent performs preliminary action by pre-calculating the channel impulse response and using interpolation to generate crossing weights in advance. This allows the crossing slicer DFE to be properly configured before operation, ensuring accurate correction without requiring complex real-time calculations during signal processing
Solution Approach 2:
The patent introduces interpolation as an intermediary process that bridges the gap between data weights and crossing weights. This intermediary mechanism efficiently generates the required crossing-specific parameters without requiring complete recalculation or complex separate measurement systems
Data Source
AI summary
A system and method for decision feedback equalization of a crossing slicer. A serial receiver includes a data slicer and a crossing slicer, and implements decision feedback equalization for the data slicer, with a plurality of data weights. The serial receiver also implements decision feedback equalization for the crossing slicer, using crossing weights that are interpolated between corresponding pairs of the data weights. The crossing weights may be formed by any suitable interpolation method, including linear interpolation, cubic interpolation, or spline interpolation.


