Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Signal to noise ratio scaling and density limit estimates in longitudinal magnetic recording

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Bertram, H.N. ; Center for Magnetic Recording Res., California Univ., San Diego, La Jolla, CA, USA ; Zhou, Hong ; Gustafson, R.

A simplified general expression is given for SNR for digital magnetic recording for transition noise dominant systems. High density media are assumed in which the transition parameter scales with the in-plane grain diameter. At a fixed normalized code density, the SNR varies as the square of the bit spacing times the read track width divided by the grain diameter cubed. This scaling law is shown to be quite general and useful for error rate analysis. Density optimization argues for track width narrowing rather than bit length reduction, limited by edge track considerations. Utilization of Arrhenius thermal signal decay yields limiting density estimates, neglecting electronics noise, in the range 50-100 Gbit/in2 increasing with an increase in medium thickness/grain diameter ratio

Published in:

Magnetics, IEEE Transactions on  (Volume:34 ,  Issue: 4 )