Reliability Monitor Circuit for Soft-Data Parameter Tuning
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Solution Overview
Problem
Current methods for tuning data processing systems are inefficient, requiring significant storage space for known data patterns and lengthy testing times, which increases manufacturing costs and reduces usable storage area.
Innovation Solution
The implementation of a data processing system that includes a data detector circuit, a reliability monitor circuit, and a parameter modification control circuit, which applies a data detection algorithm to yield soft data and determines a proxy error count to modify system parameters, reducing the need for known data patterns and shortening tuning times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If known data patterns are provided to tune data processing circuitry, then processing performance can be improved, but storage area is diminished and manufacturing time increases
Solution Approach 1:
The patent extracts the tuning process from requiring known data patterns stored in the device. Instead, it uses existing data sets already present in the storage system during normal operation to perform parameter tuning. This extraction eliminates the need for dedicated known data pattern storage, thereby preserving usable storage area while maintaining the ability to tune processing performance.
Solution Approach 2:
The patent makes the data sets serve multiple functions: they are used both for normal storage operations and for parameter tuning. By using any available data sets in the storage system for dual purposes (storage and tuning), the system eliminates the need for separate known data patterns, thus preserving storage area while achieving performance optimization.
2Manufacturing precision
If known data patterns are used for tuning, then processing performance can be improved, but manufacturing time increases
Solution Approach 1:
The patent performs parameter tuning during the normal operation of the storage system using existing data sets, rather than requiring a separate preliminary tuning phase with known data patterns. This preliminary action is integrated into the operational workflow, allowing tuning to occur without adding separate manufacturing time while still achieving performance optimization.
Solution Approach 2:
The patent enables continuous tuning using data sets that are continuously available during normal operation. Instead of requiring a discrete, time-consuming tuning phase with known data patterns, the system continuously utilizes existing data for parameter optimization, thereby eliminating additional manufacturing time while maintaining performance improvement.
3Reliability
If traditional error rate monitoring is used, then reliable parameter selection can be achieved, but considerable time is required increasing manufacturing costs
Solution Approach 1:
The patent replaces the traditional mechanical approach of monitoring actual error rates (which requires extensive testing time) with a computational method using proxy error counts derived from soft data analysis. This substitution allows for rapid parameter evaluation while maintaining reliability, as the proxy metrics provide sufficient information for accurate parameter selection without the time cost of exhaustive error rate monitoring.
Solution Approach 2:
The patent introduces proxy error counts as an intermediary metric between the actual error rate and parameter selection. Instead of directly measuring error rates which requires considerable time, the system uses proxy error counts derived from soft data as an intermediate indicator that correlates with actual performance, enabling fast and reliable parameter selection without the time penalty of direct error rate monitoring.
Data Source
AI summary
Various embodiments of the present invention provide systems and methods for data processing. For example, a data processing system is disclosed that includes: a data detector circuit, and a reliability monitor circuit. The data detector circuit is operable to apply a data detection algorithm to a data set to yield a detected output that includes soft data. The reliability monitor circuit is operable to determine a proxy error count based at least in part on the soft data, and to modify a parameter governing an operation of the data processing system based at least in part on the proxy error count.