Pre-Equalizer Noise Suppression for Multi-Read Data Recovery
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Solution Overview
Problem
Noise interference in data processing systems undermines the ability to converge on the originally written data set, affecting the accuracy and reliability of data recovery in storage systems.
Innovation Solution
The implementation of a data processing system that includes a sample averaging circuit, selector circuit, equalizer circuit, and mark detector circuit, which averages and equalizes data samples using a framing signal to suppress noise, and adapts the target input for enhanced noise filtering, allowing for retry conditions to improve data recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If noise filtering techniques are applied after equalization, then noise is reduced, but upstream processing including parameter selection is adversely affected and convergence on original data is undermined
Solution Approach 1:
The patent applies noise filtering through sample averaging before the equalizer processes the data. By pre-processing the noisy samples and averaging them across multiple reads, the system eliminates noise before it can adversely affect the equalization and downstream processing, thereby maintaining convergence reliability while still achieving noise reduction
2Object-affected harmful factors
If multiple reads and averaging are performed, then noise suppression is improved, but processing time and system complexity increase
Solution Approach 1:
The system performs multiple reads and averages samples in advance before equalization, storing the averaged result for subsequent use. This preliminary noise suppression allows faster processing of already-cleaned data through the equalizer and decoder, reducing overall processing time despite the initial multiple reads
Solution Approach 2:
The patent reads the same codeword multiple times from the storage medium, creating multiple copies of the data with different noise realizations. By averaging these copies, the system suppresses random noise while recovering the original signal, trading read operations for noise reduction
Data Source
AI summary
The present inventions are related to systems and methods for pre-equalizer noise suppression in a data processing system. As an example, a data processing system is discussed that includes: a sample averaging circuit, a selector circuit, an equalizer circuit, and a mark detector circuit. The sample averaging circuit is operable to average corresponding data samples from at least a first read of a codeword and a second read of the codeword to yield an averaged output based at least in part on a framing signal. The selector circuit is operable to select one of the averaged output and the first read of the codeword as a selected output. The equalizer circuit is operable to equalize the selected output to yield an equalized output, and the mark detector circuit is operable to identify a location mark in the equalized output to yield the framing signal.