TY - JOUR
T1 - Channel models and detectors for two-dimensional magnetic recording
AU - Chan, Kheong Sann
AU - Radhakrishnan, Rathnakumar
AU - Eason, Kwaku
AU - Elidrissi, Moulay Rachid
AU - Miles, Jim J.
AU - Vasic, Bane
AU - Krishnan, Anantha Raman
N1 - Funding Information:
ACKNOWLEDGMENT The authors would like to acknowledge R. Wood as the proposer of TDMR and the motivator behind its continued progress. This work was sponsored by Information Storage Industry Consortium (INSIC).
PY - 2010/3
Y1 - 2010/3
N2 - Two-dimensional magnetic recording (TDMR) is a novel recording architecture intended to support densities beyond those of conventional recording systems. The gains from TDMR come primarily from more powerful coding and signal processing algorithms that allow the bits to be packed more tightly on the disk, and yet be retrieved with acceptable error rates. In this paper, we present some preliminary results for an advanced channel model based on micromagnetic simulations, coined the Grain Flipping Probability model. This model requires a one-time computationally complex characterization phase, but subsequently provides fast and accurate two-dimensional (2-D) readback waveforms that include effects captured from micromagnetic simulations and the statistical effects derived from the granularity of the recording medium. We also show the performance of several detectors over a pre-existing TDMR channel model directly as a function of channel density rather than the signal-to-noise ratio (SNR).
AB - Two-dimensional magnetic recording (TDMR) is a novel recording architecture intended to support densities beyond those of conventional recording systems. The gains from TDMR come primarily from more powerful coding and signal processing algorithms that allow the bits to be packed more tightly on the disk, and yet be retrieved with acceptable error rates. In this paper, we present some preliminary results for an advanced channel model based on micromagnetic simulations, coined the Grain Flipping Probability model. This model requires a one-time computationally complex characterization phase, but subsequently provides fast and accurate two-dimensional (2-D) readback waveforms that include effects captured from micromagnetic simulations and the statistical effects derived from the granularity of the recording medium. We also show the performance of several detectors over a pre-existing TDMR channel model directly as a function of channel density rather than the signal-to-noise ratio (SNR).
KW - 2-D channel detection
KW - 2-D channel models
KW - GFP
KW - Micromagnetic simulation
KW - Two-dimensional magnetic recording (TDMR)
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U2 - 10.1109/TMAG.2009.2035635
DO - 10.1109/TMAG.2009.2035635
M3 - Article
AN - SCOPUS:79551631747
SN - 0018-9464
VL - 46
SP - 804
EP - 811
JO - IEEE Transactions on Magnetics
JF - IEEE Transactions on Magnetics
IS - 3 PART 1
ER -