51. ISI/ITI Turbo Equalizer for TDMR Using Trained Local Area Influence Probabilistic Model.
- Author
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Sun, Xueliang, Shen, Jinlu, Belzer, Benjamin J., Sivakumar, Krishnamoorthy, James, Ashish, Chan, Kheong Sann, and Wood, Roger
- Subjects
MAGNETIC recorders & recording ,INTERSYMBOL interference ,PROBABILISTIC number theory ,ERROR rates ,LINEAR systems ,DETECTORS ,ITERATIVE decoding - Abstract
In this paper, a local area influence probabilistic (LAIP) detector for estimating magnetic grain interactions with coded data bits in two-dimensional magnetic recording is combined with a 2-D Bahl–Cocke–Jelinek–Raviv (BCJR)-based detector for joint removal of intertrack interference (ITI) and intersymbol interference (ISI). The LAIP detector sends log-likelihood ratio estimates of coded bits and an estimate of the local ISI/ITI convolution mask to a BCJR-based ISI/ITI detector followed by an irregular-repeat-accumulate decoder. Simulation results on a random Voronoi grain media model with ISI and ITI show that the concatenated LAIP/BCJR system, which detects three tracks simultaneously, achieves user information bit areal densities competitive or higher than results reported in a previous paper that employed the LAIP detector alone on a Voronoi grain channel without ISI/ITI. Simulation results on a grain-flipping probability media model based on micromagnetic simulations show that the proposed detector achieves an 11.3% bit error rate reduction compared to a recently proposed system with a 2-D linear equalizer followed by a two-track BCJR detector with 2-D pattern-dependent noise prediction. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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