Two dimensional signal processing for storage channels
Abstract
Over the past decade, storage channels have undergone a steady increase in capacity.
With the prediction of achieving 10 Tb/in2 areal density for magnetic recording
channels in sight, the industry is pushing towards di erent technologies for
storage channels. Heat-assisted magnetic recording, bit-patterned media, and twodimensional
magnetic recording (TDMR) are cited as viable alternative technologies
to meet the increasing market demand. Among these technologies, the twodimensional
magnetic recording channel has the advantage of using conventional
medium while relying on improvement from signal processing. Capacity approaching
codes and detection methods tailored to the magnetic recording channels are
the main signal processing tools used in magnetic recording. The promise is that
two-dimensional signal processing will play a role in bringing about the theoretical
predictions.
The main challenges in TDMR media are as follows: i) the small area allocated
to each bit on the media, and the sophisticated read and write processes in shingled
magnetic recording devices result in signi cant amount of noise, ii) the twodimensional
inter-symbol interference is intrinsic to the nature of shingled magnetic
recording. Thus, a feasible two-dimensional communication system is needed to
combat the errors that arise from aggressive read and write processes.
In this dissertation, we present some of the work done on signal processing aspect
for storage channels. We discuss i) the nano-scale model of the storage channel,
ii) noise characteristics and corresponding detection strategies, iii) two-dimensional
signal processing targeted at shingled magnetic recording.
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- OU - Dissertations [9305]