Please use this identifier to cite or link to this item:
Title: Writing process induced media noise measurement
Authors: Ang, S.
Ong, C.L.
Yuan, Z.
Pang, C.K. 
Keywords: Head footprint
noise measurement
perpendicular magnetic recording
signal to noise ratio
transition curvature
Issue Date: 2012
Citation: Ang, S., Ong, C.L., Yuan, Z., Pang, C.K. (2012). Writing process induced media noise measurement. IEEE Transactions on Magnetics 48 (11) : 3907-3910. ScholarBank@NUS Repository.
Abstract: Writing processes can cause extra medium noise, which is the dominant noise in the perpendicular recording system. This work describes the methodology of using averaging methods to measure the writer footprints and its noise profiles, which are recorded at different writing currents on a Spin-stand. Two different commercial heads have been used for the evaluation. The test is performed on a 2.5 inch commercial disc at the middle diameter (MD) location, rotating at 5400 RPM spindle speed, and at 0 skew angle. The center track is DC erased over an AC erased background and then recorded with a repetitive footprint data pattern and an alignment data pattern. Multiple revolution averaging and down track footprint averaging are used to retrieve the noise free footprint profile of the writer. Using the noise free footprint profile, the statistical characteristics of noise can be derived from the individual noisy footprint which shows the media noise characteristics induced by writing process. Using footprint and noise profile data, signal to noise ratio (SNR) for regions near the trailing edge of the writer profile are calculated and suggests that the ideal writing condition for writer A and B to be 55 and 25 mA respectively. © 1965-2012 IEEE.
Source Title: IEEE Transactions on Magnetics
ISSN: 00189464
DOI: 10.1109/TMAG.2012.2197377
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Nov 29, 2022


checked on Nov 29, 2022

Page view(s)

checked on Nov 24, 2022

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.