Interpolated Sample Decoding for Timing Mismatch Recovery
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Solution Overview
Problem
In storage and communication systems, analog to digital converters face performance degradation due to mismatched timing parameters, leading to constructive and destructive signal folding, which degrades system performance, especially in systems without feedback loops for timing adjustment.
Innovation Solution
The implementation of an interpolation-based processing system that uses a 1 to n interpolator to generate samples at different phase offsets, allowing for decision selection based on detectors' outputs, reliability information, and rough timing estimation to determine the optimal phase, thereby eliminating the need for complex feedback loops and reducing preamble length.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a closed loop feedback system is used to adjust timing parameters, then timing accuracy is improved, but device complexity increases
Solution Approach 1:
The patent extracts the timing adjustment function from a complex closed-loop feedback system and implements it through open-loop interpolation. Instead of using feedback to adjust timing parameters, the system generates multiple interpolated samples at different phase offsets and selects the best match, thereby eliminating the need for complex feedback loops while maintaining timing accuracy.
Solution Approach 2:
The system performs preliminary generation of interpolated samples at multiple phase offsets before making a timing decision. By pre-calculating samples at different phases and comparing them against the received signal, the system determines the optimal timing without requiring iterative feedback adjustment, thus reducing complexity while preserving accuracy.
2Measurement precision
If a long preamble is used for timing synchronization, then timing accuracy is improved, but loss of time increases
Solution Approach 1:
The patent uses a short preamble (partial action) combined with interpolated sample generation to achieve timing synchronization. Instead of requiring a long preamble for traditional timing recovery, the system generates multiple phase-offset samples from the short preamble and selects the best match, thereby achieving adequate timing accuracy with reduced preamble duration and minimal time loss.
3Device complexity
If simple processing is used to reduce die size and cost, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The system creates multiple copies of the received signal at different phase offsets through interpolation rather than using complex feedback processing. By generating interpolated samples at various phases and comparing them against expected patterns, the system achieves accurate timing parameter determination through simple parallel processing, reducing die size and cost while maintaining precision.
4Ease of operation
If random sampling phase is used, then ease of operation is improved, but reliability deteriorates due to signal folding
Solution Approach 1:
The patent implements dynamic phase selection by generating interpolated samples at multiple phase offsets and selecting the phase that provides the best match. Instead of using a fixed random sampling phase, the system dynamically determines the optimal phase through comparison of interpolated samples, thereby maintaining ease of operation while ensuring consistent signal power and high reliability across different operating conditions.
Data Source
AI summary
A plurality of interpolated samples is generated. Using a plurality of soft-decision detectors, error correction decoding is performed on the plurality of interpolated samples in order to obtain a plurality of decisions. From the plurality of decisions, one is selected by determining which of the plurality of soft-decision detectors are able to come to a decision during error correction decoding. It is determined whether a majority of the detectors that are able to come to a decision come to a same decision. If not, a decision associated with a greatest reliability is selected from the decision detectors that are able to come to a decision.