Calibration Circuit Coasting for Data Recovery Accuracy
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Solution Overview
Problem
Existing data processing systems face difficulties in recovering original data sets due to media defects, which hinder accurate data detection and decoding, particularly in storage and transmission systems.
Innovation Solution
The implementation of a data processing system that includes a defect detector circuit, a defect location buffer, and a calibration circuit, which identifies defect regions and adaptively updates calibration outputs while disabling updates during suspect data inputs to prevent calibration skewing, employing techniques like maximum a posteriori data detectors and digital finite impulse response filters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If adaptive calibration updating is continuously performed during data processing, then calibration accuracy is improved, but calibration stability deteriorates when defective data is present
Solution Approach 1:
The defect detection mechanism operates in advance to identify defective data regions before they can corrupt the calibration process. By detecting defects preliminarily and marking their locations, the system prevents contaminated data from being used in calibration updates, thus maintaining both calibration accuracy and stability.
Solution Approach 2:
The patent introduces an intermediary mechanism (defect detection and marking system) that sits between the data input and the calibration update process. This intermediary filters out defective data by marking its locations, allowing the calibration process to selectively use only clean data, thereby resolving the contradiction between accuracy and stability.
2Productivity
If calibration updates are performed using all available data, then data processing speed is improved, but data recovery accuracy deteriorates due to defect contamination
Solution Approach 1:
Instead of using all available data for calibration updates, the system selectively applies partial action by skipping updates only in regions marked as defective. This approach processes the majority of clean data at full speed while excluding only the contaminated portions, thereby maintaining high processing speed without sacrificing data recovery accuracy.
Solution Approach 2:
The patent applies local quality by treating different regions of the data differently based on their defect status. Clean regions undergo normal calibration updates for high-speed processing, while defective regions are excluded from updates to prevent accuracy degradation. This localized differentiation resolves the contradiction between speed and accuracy.
3Measurement precision
If defect detection and calibration coasting mechanisms are implemented, then data recovery accuracy is improved, but device complexity increases
Solution Approach 1:
The patent merges the defect detection functionality with the existing calibration process by integrating defect markers into the calibration update mechanism. Rather than adding completely separate systems, the defect detection and calibration coasting are combined into a unified workflow, reducing overall system complexity while maintaining improved data recovery accuracy.
Data Source
AI summary
The present inventions are related to systems and methods for data processing, and more particularly to systems and methods for coasting one or more calibration loops based upon identification of a probability of data inaccuracies. One embodiment is a data processing system that includes: a defect detector circuit operable to identify a defect region during a first pass processing of a received data set; a defect location buffer operable to maintain an indication of the defect region in the received data set; and a calibration circuit operable to adaptively update a calibration output during a second pass processing of the received data set, where updating the calibration output is disabled for one or more samples of the received data set corresponding to the indication of the defect region.