Belief propagation based multihead multitrack detection over conventional and bit-patterned media storage systems

Jun Hu, Tolga M. Duman, Erozan M. Kurtas, M. Fatih Erden

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a low complexity detection technique for multihead multitrack recording systems. By exploiting the sparseness of the two dimensional (2-D) partial response channel, we start with the development of an algorithm which performs belief propagation (BP) over the corresponding factor graph. We consider the BP-based detector not only for the partial response channel, but also for the more practical conventional media and bit-patterned media storage systems, with and without media noise. Compared to the maximum likelihood detector which has a prohibitively high complexity that is exponential with both the number of tracks and the number of ISI taps, the proposed detector has a much lower complexity and a fast parallel structure which come at a small performance penalty.

Original languageEnglish (US)
Title of host publicationForty-first Annual Conference on Information Sciences and Systems, CISS 2007 - Proceedings
Pages74-79
Number of pages6
DOIs
StatePublished - 2007
Event41st Annual Conference on Information Sciences and Systems, CISS 2007 - Baltimore, MD, United States
Duration: Mar 14 2007Mar 16 2007

Publication series

NameForty-first Annual Conference on Information Sciences and Systems, CISS 2007 - Proceedings

Other

Other41st Annual Conference on Information Sciences and Systems, CISS 2007
Country/TerritoryUnited States
CityBaltimore, MD
Period3/14/073/16/07

Keywords

  • Belief propagation
  • Bit-patterned media
  • Multi-track detection
  • Partial response channel
  • Viterbi algorithm

ASJC Scopus subject areas

  • General Computer Science

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