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

Kumar, Naveen
Agarwal, Pranav
Ramamoorthy, Aditya
Ramamoorthy, Aditya
Salapaka, Murti
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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>This is a manuscript of a proceeding from the <em>IEEE Global Communications Conference</em> (2009): 1686, doi:<a href="" target="_blank">10.1109/TCOMM.2010.06.090197</a>. Posted with permission.</p>
Maximum likelihood detection, Detectors, Probes, Memory, Consumer electronics, Data storage systems, Polymers, Q factor, Communication channels, Interference