Hard Disk Read Channel Retry Using Selective Signal Retention

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Solution Overview

Problem

Existing hard disk drive retry operations, particularly physical re-reads, are inefficient due to the lack of selective data retention methods, leading to increased error likelihood as track and sector spacing decrease and spin rates increase.

Innovation Solution

The implementation of a reliability metric-based system that selectively retains the most reliable signal segments during read operations, allowing for improved physical re-read operations by identifying and prioritizing signal segments based on their reliability, such as soft bit decisions or noise estimation, to enhance data retention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If tracks and sectors are spaced closer together and spin rates are increased, then storage capacity and speed are improved, but error likelihood increases significantly

Engineering Contradiction:
Improvestorage capacity and speedVSAvoiderror likelihood
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent divides the read signal into multiple segments and evaluates each segment independently using reliability metrics. This segmentation allows the system to identify and retain only the most reliable segments for retry operations, rather than treating the entire signal uniformly. The segmentation principle resolves the contradiction by enabling selective data retention that improves reliability without sacrificing the high-density storage capacity and spin rates.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by assigning different reliability metrics to different segments of the read signal based on their specific characteristics. Each segment is evaluated individually using metrics such as signal-to-noise ratio, and only segments meeting certain reliability thresholds are retained for retry operations. This local evaluation approach allows the system to maintain high storage density and speed while improving overall reliability by focusing resources on the most reliable data segments.

Inventive Principle:
Principle #3Local quality

2Reliability

If physical re-read operations are performed frequently, then error correction capability is improved, but operational efficiency decreases

Engineering Contradiction:
Improveerror correction capabilityVSAvoidoperational efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent performs preliminary evaluation of signal segments using reliability metrics before initiating physical re-read operations. By pre-assessing which segments are reliable and which require retry, the system avoids unnecessary physical re-reads and focuses resources only on segments that need correction. This preliminary action principle resolves the contradiction by improving error correction capability through targeted retry operations while maintaining operational efficiency by avoiding redundant reads.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent changes the parameter of data retention by selectively retaining only those signal segments that meet specified reliability thresholds. This parameter-based selection transforms the retry process from a blanket operation on all segments to a targeted operation on specific segments based on their reliability characteristics. The parameter changes principle resolves the contradiction by enabling efficient error correction through selective retry while maintaining high operational efficiency through reduced unnecessary operations.

Inventive Principle:
Principle #35Parameter changes

3Loss of information

If all signal segments are retained during read operations, then data completeness is improved, but storage efficiency and error management deteriorate

Engineering Contradiction:
Improvedata completenessVSAvoidstorage efficiency
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The patent extracts and retains only the most reliable signal segments based on evaluated reliability metrics, discarding or marking segments that do not meet the retention criteria. This extraction principle resolves the contradiction by maintaining data completeness for reliable segments while improving storage efficiency through selective retention. The system achieves effective error management by focusing storage resources on high-quality data segments rather than retaining all segments uniformly.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent discards unreliable signal segments during initial read operations and recovers them through targeted retry operations only when necessary. This discarding and recovering approach resolves the contradiction by improving storage efficiency through selective retention of reliable segments while maintaining data completeness through recovery of discarded segments via retry operations. The principle enables efficient error management by recovering only the segments that actually need it.

Inventive Principle:
Principle #34Discarding and recovering

Data Source

PatentUS8225183B2Methods and apparatus for selective data retention decoding in a hard disk drive
Publication Date: 2012.07.17 AVAGO TECHNOLOGIES INTERNATIONAL SALES PTE LTD
  • US8225183B2 patent drawing
  • US8225183B2 patent drawing
  • US8225183B2 patent drawing

AI summary

Methods and apparatus are provided for improved physical re-read operations in a hard disk drive. The disclosed methods and apparatus selectively retain data in a hard disk drive. A signal is read in an iterative read channel by assigning a reliability metric to each of a plurality of segments in a read signal; repeating the assigning step for a plurality of read operations; and selectively retaining the segments based on the assigned reliability metric. The read signal can be obtained by positioning a transducer over a storage media. The reliability metric may be based on soft bit decisions; log likelihood ratios or a noise estimation of a given segment.