Please use this identifier to cite or link to this item: https://doi.org/10.1109/TMAG.2013.2250262
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dc.titleJoint and separate detection-decoding on BPMR channels
dc.contributor.authorWu, T.
dc.contributor.authorArmand, M.A.
dc.date.accessioned2014-06-17T02:54:31Z
dc.date.available2014-06-17T02:54:31Z
dc.date.issued2013
dc.identifier.citationWu, T., Armand, M.A. (2013). Joint and separate detection-decoding on BPMR channels. IEEE Transactions on Magnetics 49 (7) : 3779-3782. ScholarBank@NUS Repository. https://doi.org/10.1109/TMAG.2013.2250262
dc.identifier.issn00189464
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/56432
dc.description.abstractThe presence of written-in errors is recognized as a challenging issue that limits the performance of bit-patterned media recording (BPMR). In this paper, we consider the Davey-MacKay coding scheme for a BPMR channel model which consists of a write channel producing dependent insertion, deletion, and substitution errors and a single-track equalized read channel with a GPR target. Three detection-decoding algorithms are proposed to work with an outer LDPC decoder to recover data encoded by the DM coding scheme on the BPMR channel. These include the Bahl-Cocke-Jelinek-Raviv binary input inner decoder (BCJR-BIID) algorithm, the joint detection-decoding algorithm and the separate detection-decoding (SDD) algorithm. Computer simulations show that at low to moderate (resp. high) signal-to-noise ratios, SDD (resp. BCJR-BIID) provides good performance-complexity trade-offs. © 1965-2012 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TMAG.2013.2250262
dc.sourceScopus
dc.subjectBit-patterned media (BPM)
dc.subjectChannel detection
dc.subjectDavey-MacKay (DM) construction
dc.subjectWritten-in errors
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TMAG.2013.2250262
dc.description.sourcetitleIEEE Transactions on Magnetics
dc.description.volume49
dc.description.issue7
dc.description.page3779-3782
dc.description.codenIEMGA
dc.identifier.isiut000322483200180
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