Track Interference Cancellation via Adaptive Signal Filtering
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Solution Overview
Problem
In magnetic recording media, data signals from one track can be corrupted by interference from adjacent tracks, especially as data density increases and tracks overlap, making it difficult to read data accurately due to irregular fragment alignment, lengths, and storage irregularities.
Innovation Solution
A method involving a coarse and fine determination of overlapping data fragments between tracks, using a data formatter to record fragment positions and lengths, and an adaptive filter to cancel interference by cross-correlating and adjusting signal delays, allowing for precise interference cancellation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data density is increased to improve storage capacity, then more data can be stored in less space, but adjacent track interference increases making data reading difficult
Solution Approach 1:
The patent introduces an intermediary signal processing system that includes a channelizer to separate adjacent track signals and a canceller that uses adaptive filtering to remove interference. The canceller processes the signal by generating a model of the interference pattern and subtracting it from the received signal, effectively using an intermediary processing layer to resolve the interference problem caused by high data density
Solution Approach 2:
The patent implements feedback through adaptive filtering where the canceller continuously adjusts its coefficients based on the received signal and the modeled interference. The system uses feedback from the signal processing to refine the interference cancellation, allowing the system to adapt to varying interference conditions while maintaining high data density
2Quantity of substance
If tracks are made to overlap to increase storage capacity, then more data can be stored, but fragment alignment becomes irregular making data recovery difficult
Solution Approach 1:
The patent applies dynamics by making the fragment alignment process adaptive rather than fixed. The channelizer dynamically adjusts its parameters based on the actual signal characteristics, and the canceller continuously refines its interference model. This dynamic approach allows the system to handle irregular fragment alignments while maintaining high storage capacity through track overlapping
3Quantity of substance
If data fragments are stored with varying lengths and positions to improve storage efficiency, then storage density increases, but interference cancellation becomes more complex
Solution Approach 1:
The patent segments the interference cancellation process into distinct functional stages: signal separation through channelization, interference modeling, and cancellation through adaptive filtering. This segmentation allows each component to handle specific aspects of the complex interference pattern, making the overall system more manageable while maintaining high storage efficiency through variable fragment lengths and positions
Data Source
AI summary
A system can include a first buffer storing a first fragment of data for a first data sector in a first track of a storage medium, a second buffer storing a second fragment of data for a second data sector in a second track of the storage medium adjacent to the first track, a processor configured to determine an estimated region of overlap between the first data fragment and the second data fragment, and a circuit configured to refine the estimated region of overlap by determining an offset value to offset an estimated beginning portion of overlap by the second fragment.