Performance Evaluation of Neuro ITI Canceller for Two-Dimensional Magnetic Recording by Shingled Magnetic Recording

A neuro intertrack interference canceller (neuro-ITIC) is proposed to diminish the influences of ITI and jitter-like medium noise for two-dimensional magnetic recording (TDMR) by shingled magnetic recording. The bit error rate (BER) performance of a low-density parity-check coding and iterative deco...

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Vydané v:IEEE transactions on magnetics Ročník 49; číslo 7; s. 3810 - 3813
Hlavní autori: Yamashita, Masato, Okamoto, Yoshihiro, Nakamura, Yasuaki, Osawa, Hisashi, Muraoka, Hiroaki
Médium: Journal Article Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: New York, NY IEEE 01.07.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Bit error rate
Cross-disciplinary physics: materials science; rheology
Encoding
Exact sciences and technology
Iterative decoding
LDPC coding and iterative decoding system
Magnetic recording
Magnetism
Materials science
neuro intertrack interference canceller (neuro-ITIC)
Neurons
Noise
Other topics in materials science
Physics
shingled magnetic recording (SMR)
two-dimensional magnetic recording (TDMR)
two-dimensional neural network equalizer (2D-NNE)
shingled magnetic recording (SMR)
two-dimensional neural network equalizer (2D-NNE)
Neural networks
LDPC coding and iterative decoding system
neuro intertrack interference canceller (neuro-ITIC)
Artificial intelligence
two-dimensional magnetic recording (TDMR)
Magnetic recording
Magnetic properties
ISSN:0018-9464, 1941-0069
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Popis
Shrnutí:A neuro intertrack interference canceller (neuro-ITIC) is proposed to diminish the influences of ITI and jitter-like medium noise for two-dimensional magnetic recording (TDMR) by shingled magnetic recording. The bit error rate (BER) performance of a low-density parity-check coding and iterative decoding system including a generalized partial response class-I channel with the neuro-ITIC is also obtained via computer simulation using a read/write channel model under TDMR specifications of 4 Tb/in , and it is compared to those for a two-dimensional neural network equalizer (2D-NNE) and an ITI canceller (ITIC) with a one-dimensional finite impulse response equalizer (1D-FIRE). It is clarified that the BER performance for the neuro-ITIC is far superior to those for the 2D-NNE and the ITIC with the 1D-FIRE.
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ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2013.2242437