Maximum-Likelihood Sequence Detector for Dynamic Mode High Density Probe Storage

dc.contributor.author Kumar, Naveen
dc.contributor.author Agarwal, Pranav
dc.contributor.author Ramamoorthy, Aditya
dc.contributor.author Ramamoorthy, Aditya
dc.contributor.author Salapaka, Murti
dc.contributor.department Electrical and Computer Engineering
dc.date 2018-02-18T04:19:52.000
dc.date.accessioned 2020-06-30T02:02:07Z
dc.date.available 2020-06-30T02:02:07Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2010
dc.date.issued 2010-06-01
dc.description.abstract <p>There is an increasing need for high density data storage devices driven by the increased demand of consumer electronics. In this work, we consider a data storage system that operates by encoding information as topographic profiles on a polymer medium. A cantilever probe with a sharp tip (few nm radius) is used to create and sense the presence of topographic profiles, resulting in a density of few Tb per in.2. The prevalent mode of using the cantilever probe is the static mode that is harsh on the probe and the media. In this article, the high quality factor dynamic mode operation, that is less harsh on the media and the probe, is analyzed. The read operation is modeled as a communication channel which incorporates system memory due to inter-symbol interference and the cantilever state. We demonstrate an appropriate level of abstraction of this complex nanoscale system that obviates the need for an involved physical model. Next, a solution to the maximum likelihood sequence detection problem based on the Viterbi algorithm is devised. Experimental and simulation results demonstrate that the performance of this detector is several orders of magnitude better than the performance of other existing schemes.</p>
dc.description.comments <p>This is a manuscript of an article from <em>IEEE Transactions on Communications</em> 58 (2010): 1686, <a href="http://dx.doi.org/10.1109/TCOMM.2010.06.090197" target="_blank">doi: 10.1109/TCOMM.2010.06.090197</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/ece_pubs/119/
dc.identifier.articleid 1119
dc.identifier.contextkey 9660967
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ece_pubs/119
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/20940
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ece_pubs/119/2010_Ramamoorthy_MaximumLikelihood.pdf|||Fri Jan 14 19:00:54 UTC 2022
dc.source.uri 10.1109/TCOMM.2010.06.090197
dc.subject.disciplines Electrical and Computer Engineering
dc.subject.disciplines Nanotechnology Fabrication
dc.subject.disciplines Systems and Communications
dc.subject.keywords Nanotechnology
dc.subject.keywords probe storage
dc.subject.keywords maximum likelihood sequence detection
dc.subject.keywords atomic force microscopy
dc.title Maximum-Likelihood Sequence Detector for Dynamic Mode High Density Probe Storage
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 8f4839bd-bc09-45dd-863a-1157465ec37a
relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff
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