Joint Timing Recovery and Signal Detection for Two-Dimensional Magnetic Recording

Two-dimensional magnetic recording (TDMR) is a promising technology for boosting areal densities using sophisticated signal processing algorithms within a systems framework. The channel impairments comprise of 2-D intersymbol interference (ISI), 2-D synchronization errors along with media, and elect...

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Veröffentlicht in:IEEE transactions on magnetics 2017-02, Vol.53 (2), p.1-11
Hauptverfasser: Matcha, Chaitanya Kumar, Garani Srinivasa, Shayan
Format: Artikel
Sprache:eng
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Zusammenfassung:Two-dimensional magnetic recording (TDMR) is a promising technology for boosting areal densities using sophisticated signal processing algorithms within a systems framework. The channel impairments comprise of 2-D intersymbol interference (ISI), 2-D synchronization errors along with media, and electronic noise sources, making it challenging for designing optimum algorithms and architectures for read/write channels. In this paper, we propose a novel iterative joint timing and signal detection algorithm to handle synchronization errors along with the 2-D ISI for TDMR channels. Our work is novel in two aspects: 1) we develop a discrete timing error model using 2-D random walk by incorporating correlated timing drifts due to phase and frequency offsets and 2) we develop a 2-D joint timing and signal detection engine for handling 2-D ISI constraints along with timing errors toward near maximum likelihood detection. The proposed 2-D joint timing-detection algorithm can be iteratively configured and observed to achieve a significant signal-to-noise ratio gain of >1.2 dB in bit error rate performance (translating to ~10% increase in areal densities around the 1 Tb/in 2 regime with the grain sizes of 10 nm and the bit sizes of 25 × 25 nm) at the output of 2-D soft-output Viterbi algorithm (SOVA) as compared with a standalone timing loop coupled to a 2-D detector in an open-loop configuration. The efficacy of our proposed algorithm and system architecture is evaluated via simulations for TDMR configurations comprising of a 2-D generalized partial response equalization along the 2-D SOVA with data-dependent noise prediction capability over the Voronoi media model.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2016.2616373