Maximum-likelihood sequence detector for dynamic mode high density probe storage

Naveen Kumar, Pranav Agarwal, Aditya Ramamoorthy, Murti V. Salapaka

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


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.

Original languageEnglish (US)
Article number5474633
Pages (from-to)1686-1694
Number of pages9
JournalIEEE Transactions on Communications
Issue number6
StatePublished - Jun 2010

Bibliographical note

Funding Information:
Paper approved by H. Leib, the Editor for Communication and Information Theory of the IEEE Communications Society. Manuscript received April 12, 2009; revised August 30, 2009. N. Kumar and A. Ramamoorthy are with the Dept. of Electrical and Computer Engg., Iowa State University, Ames IA 50011 (e-mail: {nk3, adityar} P. Agarwal and M. V. Salapaka are with the Dept. of Electrical and Computer Engg., University of Minnesota, Minneapolis, MN 55455 (e-mail: {agar0108, murtis} This research was supported by NSF grant ECCS-0802019. Digital Object Identifier 10.1109/TCOMM.2010.06.090197


  • Atomic force microscopy
  • Maximum likelihood sequence detection
  • Nanotechnology
  • Probe storage


Dive into the research topics of 'Maximum-likelihood sequence detector for dynamic mode high density probe storage'. Together they form a unique fingerprint.

Cite this