Variable Sector Interleaving for Defect-Tolerant Data Encoding
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Solution Overview
Problem
Data processing systems face complexity and expense in handling defective regions on storage media during data transfer, as channel noise and varying sector formatting require computationally intensive methods to manage and correct errors.
Innovation Solution
The implementation of a data encoding circuit that selects and shuffles sector-sized encoded data sets based on identified defects on the storage medium, adjusting the number of encoded data sets and segmenting them to create an interleaved data set that spreads data across multiple sectors, reducing the impact of defects and noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple encoded data sets are interleaved to spread out channel noise impact, then data reliability is improved, but device complexity increases due to computationally complex processing required
Solution Approach 1:
The patent segments encoded data sets into smaller units and interleaves them across multiple sectors. By dividing the data transfer into discrete encoded data sets that can be independently interleaved, the system spreads noise impact while using manageable computational units, reducing overall processing complexity
Solution Approach 2:
The patent dynamically adjusts the interleaving process based on identified defective regions on the storage medium. The system modifies data distribution in real-time to avoid defects, which simplifies error correction by preventing data from being written to known bad sectors, thereby reducing the computational burden of error handling
2Reliability
If data distribution is adjusted to account for defective regions on storage medium, then data reliability is improved, but manufacturing precision requirements increase due to varying sector formatting
Solution Approach 1:
The patent applies different data distribution strategies to different regions of the storage medium based on local defect characteristics. By identifying defective regions and adjusting interleaving patterns locally rather than uniformly across the entire medium, the system maintains data reliability while avoiding the need for complex global formatting changes
Solution Approach 2:
The patent changes the parameters of data distribution (such as interleaving depth and sector allocation) based on the characteristics of defective regions. This dynamic parameter adjustment allows the system to adapt to varying storage medium conditions without requiring strict manufacturing precision, as the formatting can vary based on actual defect locations
Data Source
AI summary
Systems and method relating generally to data processing, and more particularly to systems and methods for encoding and decoding information.