Generalized belief propagation based TDMR detector and decoder

Persistent Link:
http://hdl.handle.net/10150/622831
Title:
Generalized belief propagation based TDMR detector and decoder
Author:
Matcha, Chaitanya Kumar; Bahrami, Mohsen; Roy, Shounak; Srinivasa, Shayan Garani; Vasic, Bane
Affiliation:
Department of Electrical and Computer Engineering, University of Arizona
Issue Date:
2016-07
Publisher:
IEEE
Citation:
C. K. Matcha, M. Bahrami, S. Roy, S. G. Srinivasa and B. Vasić, "Generalized belief propagation based TDMR detector and decoder," 2016 IEEE International Symposium on Information Theory (ISIT), Barcelona, 2016, pp. 210-214. doi: 10.1109/ISIT.2016.7541291
Journal:
2016 IEEE International Symposium on Information Theory (ISIT)
Rights:
Copyright © 2016, IEEE
Collection Information:
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
Abstract:
Two dimensional magnetic recording (TDMR) achieves high areal densities by reducing the size of a bit comparable to the size of the magnetic grains resulting in two dimensional (2D) inter symbol interference (ISI) and very high media noise. Therefore, it is critical to handle the media noise along with the 2D ISI detection. In this paper, we tune the generalized belief propagation (GBP) algorithm to handle the media noise seen in TDMR. We also provide an intuition into the nature of hard decisions provided by the GBP algorithm. The performance of the GBP algorithm is evaluated over a Voronoi based TDMR channel model where the soft outputs from the GBP algorithm are used by a belief propagation (BP) algorithm to decode low-density parity check (LDPC) codes.
DOI:
10.1109/ISIT.2016.7541291
Keywords:
channel capacity; channel coding; computational geometry; intersymbol interference; magnetic recording; parity check codes; LDPC; TDMR detector; Voronoi based TDMR channel model; decoder; generalized belief propagation; low-density parity check codes; magnetic grains; media noise; two dimensional intersymbol interference; two dimensional magnetic recording; Algorithm design and analysis; Approximation algorithms; Channel models; Erbium; Media; Signal processing algorithms; Two dimensional displays
Version:
Final accepted manuscript
Additional Links:
http://ieeexplore.ieee.org/document/7541291/

Full metadata record

DC FieldValue Language
dc.contributor.authorMatcha, Chaitanya Kumaren
dc.contributor.authorBahrami, Mohsenen
dc.contributor.authorRoy, Shounaken
dc.contributor.authorSrinivasa, Shayan Garanien
dc.contributor.authorVasic, Baneen
dc.date.accessioned2017-03-17T17:32:59Z-
dc.date.available2017-03-17T17:32:59Z-
dc.date.issued2016-07-
dc.identifier.citationC. K. Matcha, M. Bahrami, S. Roy, S. G. Srinivasa and B. Vasić, "Generalized belief propagation based TDMR detector and decoder," 2016 IEEE International Symposium on Information Theory (ISIT), Barcelona, 2016, pp. 210-214. doi: 10.1109/ISIT.2016.7541291en
dc.identifier.doi10.1109/ISIT.2016.7541291-
dc.identifier.urihttp://hdl.handle.net/10150/622831-
dc.description.abstractTwo dimensional magnetic recording (TDMR) achieves high areal densities by reducing the size of a bit comparable to the size of the magnetic grains resulting in two dimensional (2D) inter symbol interference (ISI) and very high media noise. Therefore, it is critical to handle the media noise along with the 2D ISI detection. In this paper, we tune the generalized belief propagation (GBP) algorithm to handle the media noise seen in TDMR. We also provide an intuition into the nature of hard decisions provided by the GBP algorithm. The performance of the GBP algorithm is evaluated over a Voronoi based TDMR channel model where the soft outputs from the GBP algorithm are used by a belief propagation (BP) algorithm to decode low-density parity check (LDPC) codes.en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7541291/en
dc.rightsCopyright © 2016, IEEEen
dc.subjectchannel capacityen
dc.subjectchannel codingen
dc.subjectcomputational geometryen
dc.subjectintersymbol interferenceen
dc.subjectmagnetic recordingen
dc.subjectparity check codesen
dc.subjectLDPCen
dc.subjectTDMR detectoren
dc.subjectVoronoi based TDMR channel modelen
dc.subjectdecoderen
dc.subjectgeneralized belief propagationen
dc.subjectlow-density parity check codesen
dc.subjectmagnetic grainsen
dc.subjectmedia noiseen
dc.subjecttwo dimensional intersymbol interferenceen
dc.subjecttwo dimensional magnetic recordingen
dc.subjectAlgorithm design and analysisen
dc.subjectApproximation algorithmsen
dc.subjectChannel modelsen
dc.subjectErbiumen
dc.subjectMediaen
dc.subjectSignal processing algorithmsen
dc.subjectTwo dimensional displaysen
dc.titleGeneralized belief propagation based TDMR detector and decoderen
dc.typeProceedingsen
dc.contributor.departmentDepartment of Electrical and Computer Engineering, University of Arizonaen
dc.identifier.journal2016 IEEE International Symposium on Information Theory (ISIT)en
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal accepted manuscripten
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