Data Retry Averaging Circuit for Storage Media Defect Recovery
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Solution Overview
Problem
Existing data processing systems face challenges in recovering original data sets due to media defects, necessitating advanced methods for calibration and retry processes during data transfer in storage and communication systems.
Innovation Solution
The implementation of a data processing system that includes an analog to digital converter circuit, sample averaging circuit, selector circuit, equalizer circuit, and data processing circuit, which utilizes X-averaging and multi-phase re-adaptation of circuit parameters to recover data sets, incorporating noise predictive filtering and equalization to improve data recovery accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard data processing is used, then processing speed is maintained, but data recovery accuracy deteriorates due to media defects
Solution Approach 1:
The system performs preliminary actions by storing multiple retry samples before final data recovery. These samples are captured during repeated read attempts and stored for subsequent averaging processing, enabling improved recovery accuracy without increasing real-time processing complexity
Solution Approach 2:
The system merges multiple retry samples through averaging processing to produce a combined signal with improved signal-to-noise ratio. This combining approach enhances data recovery accuracy by consolidating information from multiple read attempts while maintaining manageable processing requirements
2Measurement precision
If multiple retry samples are averaged, then data recovery accuracy is improved, but processing time increases
Solution Approach 1:
The system performs averaging operations on stored retry samples in advance, before final data recovery is needed. This preliminary processing allows the system to prepare improved recovery data without adding significant delay to the critical recovery path
Solution Approach 2:
The system applies averaging to only the necessary retry samples rather than processing all possible samples. By selecting a sufficient number of samples for averaging, the system achieves adequate accuracy improvement without excessive processing time investment
3Speed
If filter coefficients are adapted during retry, then convergence speed is improved, but computational complexity increases
Solution Approach 1:
The system performs preliminary adaptation of filter coefficients using stored retry samples before final data recovery. This pre-adaptation establishes optimized coefficients in advance, enabling faster convergence during actual recovery operations without increasing real-time computational burden
Solution Approach 2:
The system uses feedback from retry sample processing to continuously refine filter coefficients. By monitoring recovery performance and adjusting coefficients based on this feedback, the system achieves improved convergence speed while keeping computational requirements manageable through iterative refinement
Data Source
AI summary
Embodiments are related to systems and methods for data processing, and more particularly to systems and methods for calibration during data processing. As an example, a data processing system is discussed that includes a sample averaging circuit operable to average digital samples from an analog to digital converter circuit over multiple instances of an analog input to yield an X-average output, and a selector circuit operable to select one of the digital samples or the X-average output as a processing output.