Ternary Signal Storage Device Viterbi Equalizer Intersymbol Interference

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Solution Overview

Problem

Conventional magnetic recording systems face issues with intersymbol interference when increasing recording density, leading to incorrect reproduction of information bits due to the use of only two signal levels.

Innovation Solution

A storage device and controller configuration that converts user data into three-ary symbols, allowing for three signal levels (+1, −1, and 0) to be recorded, using a Viterbi equalizer and LDPC decoder to perform simultaneous equalization and decoding, thereby increasing information density without degrading reproduction accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If recording density is increased in a conventional magnetic recording system, then storage capacity is improved, but intersymbol interference occurs causing incorrect reproduction

Engineering Contradiction:
Improverecording densityVSAvoidreproduction accuracy
Core Design Contradiction:
Quantity of substanceVSReliability

Solution Approach 1:

The patent changes the signal level parameter from binary (two levels) to ternary (three levels), allowing the recording medium to represent three distinct signal levels. This parameter change enables higher recording density while maintaining reproduction accuracy by reducing intersymbol interference through the additional signal level dimension.

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If only two signal levels are used, then device complexity is reduced, but information density is limited

Engineering Contradiction:
Improvesignal level complexityVSAvoidinformation density
Core Design Contradiction:
Device complexityVSQuantity of substance

Solution Approach 1:

The patent transitions from a binary signal system to a ternary signal system, changing the number of signal levels from two to three. This parameter change increases information density by allowing more distinct signal states while the Viterbi equalizer manages the increased complexity through systematic state tracking and likelihood calculation.

Inventive Principle:
Principle #35Parameter changes

3Quantity of substance

If three-ary symbols are used to increase information density, then recording capacity is improved, but equalization complexity increases

Engineering Contradiction:
Improveinformation densityVSAvoidequalization complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The Viterbi equalizer employs feedback mechanisms by calculating likelihoods based on observed signal levels and using this information to determine the most probable transmitted symbols. The systematic feedback loop processes symbol sequences and adjusts decisions based on actual signal observations, managing the complexity of ternary symbol equalization.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent introduces an intermediary processing layer between the physical signal and the data interpretation, using the Viterbi equalizer as a mediator that processes the ternary symbols through a trellis diagram with multiple states. This intermediary structure simplifies the overall system by providing a systematic approach to handling the increased complexity of three-level signaling.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS8988814B1Storage device, controller, and recording and reproducing method
Publication Date: 2015.03.24 KK TOSHIBA
  • US8988814B1 patent drawing
  • US8988814B1 patent drawing
  • US8988814B1 patent drawing

AI summary

According to one embodiment, a storage device includes a data conversion unit that coverts user data of n bits, into m three-ary symbols, a recording medium that records the symbols as a signal of any one of three levels corresponding to values of the symbols, and a Viterbi equalizer that performs equalization of the m symbols simultaneously based on a signal read from the recording medium while setting the number of states as a power of 3 and using a trellis diagram having 2n branches, and calculates 2n likelihoods.