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Generalized Belief Propagation Based TDMR Detector and Decoder

Matcha, Chaitanya Kumar and Bahrami, Mohsen and Roy, Shounak and Srinivasa, Shayan Garani and Vasic, Bane (2016) Generalized Belief Propagation Based TDMR Detector and Decoder. In: IEEE International Symposium on Information Theory (ISIT), JUL 10-15, 2016, Barcelona, SPAIN, pp. 210-214.

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Official URL: http://dx.doi.org/10.1109/ISIT.2016.7541291


Two 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.

Item Type: Conference Proceedings
Series.: IEEE International Symposium on Information Theory
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited: 09 Feb 2017 07:28
Last Modified: 09 Feb 2017 07:28
URI: http://eprints.iisc.ac.in/id/eprint/56191

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