An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
A nanotechnology-based approach to data storage
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
The "millipede" - nanotechnology entering data storage
IEEE Transactions on Nanotechnology
The Viterbi algorithm and Markov noise memory
IEEE Transactions on Information Theory
Pattern-dependent noise prediction in signal-dependent noise
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
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. 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.