Signal Processing and Coding Techniques for 2-D Magnetic Recording: An Overview
AffiliationUniv Arizona, Dept Elect & Comp Engn
Keywords2-D intersymbol interference channels
2-D signal processing
read write channels
MetadataShow full item record
CitationS. S. Garani, L. Dolecek, J. Barry, F. Sala and B. Vasić, "Signal Processing and Coding Techniques for 2-D Magnetic Recording: An Overview," in Proceedings of the IEEE, vol. 106, no. 2, pp. 286-318, Feb. 2018. doi: 10.1109/JPROC.2018.2795961
JournalPROCEEDINGS OF THE IEEE
RightsCopyright © 2018, IEEE
Collection InformationThis 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 email@example.com.
AbstractTwo-dimensional magnetic recording (TDMR) is an emerging storage technology that aims to achieve areal densities on the order of 10 Tb/in 2, mainly driven by innovative channels engineering with minimal changes to existing head/ media designs within a systems framework. Significant additive areal density gains can be achieved by using TDMR over bit patterned media (BPM) and energy-assisted magnetic recording (EAMR). In TDMR, the sectors are inherently 2-D with reduced track pitch and bit widths, leading to severe 2-D intersymbol interference (ISI). This necessitates the development of powerful 2-D signal processing and coding algorithms for mitigating 2-D ISI, timing artifacts, jitter, and electronics noise resulting from irregular media grain positions and read-head electronics. The algorithms have to be eventually realized within a read/write channel architecture as a part of a system-on-chip (SoC) within the disk controller system. In this work, we provide a wide overview of TDMR technology, channel models and capacity, signal processing algorithms (detection and timing recovery), and error-correcting codes attuned to 2-D channels. The innovations and advances described not only make TDMR a promising future technology, but may serve a broader engineering audience as well.
VersionFinal accepted manuscript
SponsorsIUSSTF under the Indo-U.S. Joint R&D Network Joint Centre on Data Storage Research Award; DST [SB/S3/EECE/0056/2013]; National Science Foundation (NSF) [CCF-0963726, CCF-1314147, ECCS-1500170]; NSF CAREER award; IDEMA ASTC