Comparing Analytical, Micromagnetic and Statistical Channel Models at 4 Tcbpsi Patterned Media Recording

Bit patterned media recording (BPMR) is a candidate technology proposed to extend the areal density growth capability of magnetic recording systems. In conventional granular magnetic recording (CGMR), bits of information are recorded onto a number of randomly distributed magnetic grains. The difficu...

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Bibliographic Details
Published in:IEEE transactions on magnetics Vol. 48; no. 5; pp. 1826 - 1832
Main Authors: Chua, M., Goh, W. L., Dong, Y., Victora, R. H., Elidrissi, M. R., Eason, K., Zhang, S. H., Qin, Z. L., Chai, K. S., Tan, K. P., Cai, K., Chan, K. S.
Format: Journal Article Conference Proceeding
Language:English
Published: New York, NY IEEE 01.05.2012
Institute of Electrical and Electronics Engineers
Subjects:
Analytical models
Codes
Cross-disciplinary physics: materials science; rheology
error correction
error correction coding
error detection coding
Exact sciences and technology
Magnetic heads
Materials science
Media
Micromagnetics
Other topics in materials science
Physics
Saturation magnetization
signal processing
Switches
Table lookup
Codes
Statistical models
error correction coding
Signal processing
Mathematical models
Modelling
error detection coding
Magnetic properties
error correction
ISSN:0018-9464, 1941-0069
Online Access:Get full text
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Summary:Bit patterned media recording (BPMR) is a candidate technology proposed to extend the areal density growth capability of magnetic recording systems. In conventional granular magnetic recording (CGMR), bits of information are recorded onto a number of randomly distributed magnetic grains. The difficulty for the granular media approach is that due to the randomness of the grains, a certain minimum number of grains are required in order to maintain the media signal to noise ratio (SNR). This requires smaller grains as the bits are shrunk and we end up with either unstable, or unwriteable grains as per the well-known media-trilemma. In BPMR, instead of random positions, the "grains'' are ordered into a well-defined lattice of magnetic islands. Because of this ordering, the media SNR is no longer determined by the number of grains per bit as in CGMR, but is defined by the geometrical and magnetic distributions of the fabrication process of the media. Analytical models exist for BPMR, that flip grains in the media based on the switching field distribution (SFD) and the knowledge of the applied head field. On the other side, a statistical model for CGMR has been proposed that measures probabilities of grains flipping based on micromagnetic simulations, named the grain flipping probability (GFP) model. In this work, we adapt the GFP model for BPMR and perform a comparison between densities predicted via the analytical and GFP models, by processing the signals from these models with the appropriate detectors and LDPC (low density parity check) decoders.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2011.2169654