Two-dimensional noise-predictive maximum likelihood method for magnetic recording channels

Chaitanya Kumar Matcha, Shayan Garani Srinivasa, Seyed Mehrdad Khatami, Bane Vasic

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

4 Scopus citations

Abstract

Noise-predictive maximum likelihood (NPML) is a well known signal detection technique used in partial response maximum likelihood (PRML) scheme in 1D magnetic recording channels. The noise samples colored by the partial response (PR) equalizer are predicted/whitened during the signal detection using a Viterbi detector. In this paper, we propose an extension of the NPML technique for signal detection in 2D ISI channels. The impact of noise prediction during signal detection is studied in PRML scheme for a particular choice of 2D ISI channel and PR targets.

Original languageEnglish (US)
Title of host publicationProceedings of 2014 International Symposium on Information Theory and Its Applications, ISITA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages679-683
Number of pages5
ISBN (Electronic)9784885522925
StatePublished - Dec 8 2014
Event2014 International Symposium on Information Theory and Its Applications, ISITA 2014 - Melbourne, Australia
Duration: Oct 26 2014Oct 29 2014

Publication series

NameProceedings of 2014 International Symposium on Information Theory and Its Applications, ISITA 2014

Other

Other2014 International Symposium on Information Theory and Its Applications, ISITA 2014
CountryAustralia
CityMelbourne
Period10/26/1410/29/14

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Keywords

  • 2D ISI
  • NPML
  • noise prediction
  • noise whitening

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

Cite this

Matcha, C. K., Srinivasa, S. G., Khatami, S. M., & Vasic, B. (2014). Two-dimensional noise-predictive maximum likelihood method for magnetic recording channels. In Proceedings of 2014 International Symposium on Information Theory and Its Applications, ISITA 2014 (pp. 679-683). [6979930] (Proceedings of 2014 International Symposium on Information Theory and Its Applications, ISITA 2014). Institute of Electrical and Electronics Engineers Inc..