SerDes Receiver Pulse Shaping for CDR and ISI Equalization
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Solution Overview
Problem
Traditional SerDes architectures face limitations in coupling between clock data recovery (CDR) and equalization adaptation, leading to sub-optimal CDR locking points, sensitivity to transmitter settings, and increased complexity due to the dominance of Feed-Forward Equalizers (FFE) in noise and crosstalk correction, which are not effectively addressed by Decision Feedback Equalizers (DFE) due to error propagation and complexity issues.
Innovation Solution
A digital signal processing (DSP) SerDes receiver architecture incorporating a Decision Feedforward Equalizer (DFFE) with integrated CDR and equalization modules, allowing joint auto-adaptation for optimal signal shaping, decoupling CDR and equalization adaptations, and utilizing multi-tap DFFE for both precursor and postcursor ISI correction to achieve symmetric pulse responses and improved noise resilience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Feed-Forward Equalizer (FFE) is used for ISI correction, then both precursor and postcursor ISI can be corrected, but noise and crosstalk are amplified
Solution Approach 1:
The equalizer is segmented into two distinct components: FFE for precursor ISI correction and DFE for postcursor ISI correction. This segmentation allows each component to perform its specialized function without the harmful side effects of the other, resolving the contradiction between comprehensive ISI correction and noise amplification.
Solution Approach 2:
Different equalization strategies are applied to different parts of the ISI problem: FFE is used locally for precursor ISI correction where noise amplification is acceptable, while DFE is used locally for postcursor ISI correction where noise amplification must be avoided. This local quality differentiation optimizes performance for each specific ISI component.
2Object-affected harmful factors
If Decision Feedback Equalizer (DFE) is used for postcursor ISI correction, then noise is not amplified, but precursor ISI cannot be corrected and error propagation occurs
Solution Approach 1:
The equalizer is segmented into two distinct components: FFE for precursor ISI correction and DFE for postcursor ISI correction. This segmentation allows each component to perform its specialized function without the harmful side effects of the other, resolving the contradiction between comprehensive ISI correction and noise amplification.
3Measurement precision
If multiple taps of DFE are used for postcursor ISI correction, then correction accuracy improves, but complexity increases exponentially
Solution Approach 1:
The equalizer is segmented into two distinct components: FFE for precursor ISI correction and DFE for postcursor ISI correction. This segmentation allows each component to perform its specialized function without the harmful side effects of the other, resolving the contradiction between comprehensive ISI correction and noise amplification.
Data Source
AI summary
An optimized pulse shaping clock data recovery system is provided that includes a slicer configured to receive a signal and provide an initial set of tentative decisions to a decision feedforward equalizer, where the decision feedforward equalizer provides a fully equalized output signal. The slicer may be incorporated as part of decision feedback equalizer to provide better quality tentative decisions. The clock data recovery system also receives the first output signal that is partially equalized in such a way as to optimally shape it for a clock to sample it at an ideal location by providing an adjustment signal to the analog to digital controller.


