Multi-Sensor Transducer for Track Misregistration in High Density Storage
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Solution Overview
Problem
In high track density environments, data storage devices face challenges in accurately decoding stored patterns due to track misregistration, which reduces the ability of transducers to maintain adjacency with tracks, affecting data retrieval efficiency.
Innovation Solution
The use of multiple sensors positioned adjacent to data patterns on a rotatable storage surface, where sensor signals are evaluated and combined to decode data, with servo positioning control signals generated to improve sensor alignment, enabling effective data recovery from multiple tracks in a multi-track recording environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to decode data patterns, then data decoding accuracy is improved, but device complexity increases
Solution Approach 1:
The patent divides the data reading function into multiple independent sensors positioned at different radial locations. Each sensor reads from a portion of the track, and the read channel separately processes each sensor's output before combining them. This segmentation allows the system to overcome track misregistration by having multiple reading points, thereby improving decoding accuracy without requiring a completely new system architecture.
Solution Approach 2:
The patent combines outputs from multiple sensors to form a composite data signal. The read channel merges the individual sensor readings through signal processing operations, effectively combining the information from multiple radial positions. This merging approach maintains improved decoding accuracy while consolidating the processing path, as the combined signal is handled through a unified read channel architecture.
2Productivity
If sensors are repositioned to maintain adjacency with tracks, then data retrieval efficiency is improved, but reliability decreases due to track misregistration
Solution Approach 1:
The patent pre-positions multiple sensors at different radial locations before data retrieval begins. This preliminary arrangement ensures that regardless of track misregistration or head positioning variations, at least one sensor will be adequately positioned to read the data pattern. This pre-configured multi-position sensor array improves reliability by eliminating the need for real-time repositioning while maintaining data retrieval efficiency.
Solution Approach 2:
The patent changes the spatial parameter of sensor positioning by placing sensors at multiple predetermined radial distances from the track center. Instead of using a single sensor that must be precisely positioned, the system uses multiple sensors with fixed radial offsets. This parameter change transforms the reliability issue from a positioning precision problem into a geometric coverage problem, where the multi-position arrangement guarantees reliable reading despite misregistration.
Data Source
AI summary
Method and apparatus for decoding data, such as from a rotatable magnetic recording medium. In accordance with some embodiments, a plurality of sensors is provided, with each sensor configured to generate a sense signal from an adjacent pattern. A processing circuit is configured to decode data from the adjacent pattern using the generated sense signals.