AffiliationDepartment of Electrical and Computer Engineering, University of Arizona
parity check codes
Voronoi based TDMR channel model
generalized belief propagation
low-density parity check codes
two dimensional intersymbol interference
two dimensional magnetic recording
Algorithm design and analysis
Signal processing algorithms
Two dimensional displays
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CitationC. K. Matcha, M. Bahrami, S. Roy, S. G. Srinivasa and B. Vasić, "Generalized belief propagation based TDMR detector and decoder," 2016 IEEE International Symposium on Information Theory (ISIT), Barcelona, 2016, pp. 210-214. doi: 10.1109/ISIT.2016.7541291
RightsCopyright © 2016, IEEE
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AbstractTwo dimensional magnetic recording (TDMR) achieves high areal densities by reducing the size of a bit comparable to the size of the magnetic grains resulting in two dimensional (2D) inter symbol interference (ISI) and very high media noise. Therefore, it is critical to handle the media noise along with the 2D ISI detection. In this paper, we tune the generalized belief propagation (GBP) algorithm to handle the media noise seen in TDMR. We also provide an intuition into the nature of hard decisions provided by the GBP algorithm. The performance of the GBP algorithm is evaluated over a Voronoi based TDMR channel model where the soft outputs from the GBP algorithm are used by a belief propagation (BP) algorithm to decode low-density parity check (LDPC) codes.
VersionFinal accepted manuscript