Jitter-like noise cancellation using AR model of PR channel in perpendicular magnetic recording

Y. Okamoto; N. Masunari; H. Yamamoto; H. Osawa; H. Saito; Hiroaki Muraoka; Y. Nakamura

doi:10.1109/TMAG.2002.801902

Jitter-like noise cancellation using AR model of PR channel in perpendicular magnetic recording

Y. Okamoto, N. Masunari, H. Yamamoto, H. Osawa, H. Saito, Hiroaki Muraoka, Y. Nakamura

Broadband Engineering Division

Research output: Contribution to journal › Conference article › peer-review

13 Citations (Scopus)

Abstract

Performance improvement of partial-response maximum-likelihood (PRML) system in the perpendicular magnetic recording channel with jitter-like noise is studied. Performance of a Viterbi detector is improved by applying an autoregressive (AR) model in order to estimate the detector input sequence. The required signal-to-noise ratio to achieve a bit-error rate (BER) of 10^-4 is obtained by computer simulation. In addition, a BER performance is also obtained by read/write experiments using a spinstand. The results show that the proposed PRML system using an AR model exhibits better performance when compared with the normal PRML systems without an AR model.

Original language	English
Pages (from-to)	2349-2351
Number of pages	3
Journal	IEEE Transactions on Magnetics
Volume	38
Issue number	5 I
DOIs	https://doi.org/10.1109/TMAG.2002.801902
Publication status	Published - 2002 Sep 1
Event	2002 International Magnetics Conference (Intermag 2002) - Amsterdam, Netherlands Duration: 2002 Apr 28 → 2002 May 2

Keywords

Autoregressive model
Noise prediction
Partial-response maximum-likelihood channel
Perpendicular magnetic recording

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

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10.1109/TMAG.2002.801902

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title = "Jitter-like noise cancellation using AR model of PR channel in perpendicular magnetic recording",

abstract = "Performance improvement of partial-response maximum-likelihood (PRML) system in the perpendicular magnetic recording channel with jitter-like noise is studied. Performance of a Viterbi detector is improved by applying an autoregressive (AR) model in order to estimate the detector input sequence. The required signal-to-noise ratio to achieve a bit-error rate (BER) of 10-4 is obtained by computer simulation. In addition, a BER performance is also obtained by read/write experiments using a spinstand. The results show that the proposed PRML system using an AR model exhibits better performance when compared with the normal PRML systems without an AR model.",

keywords = "Autoregressive model, Noise prediction, Partial-response maximum-likelihood channel, Perpendicular magnetic recording",

author = "Y. Okamoto and N. Masunari and H. Yamamoto and H. Osawa and H. Saito and Hiroaki Muraoka and Y. Nakamura",

year = "2002",

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language = "English",

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pages = "2349--2351",

journal = "IEEE Transactions on Magnetics",

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T1 - Jitter-like noise cancellation using AR model of PR channel in perpendicular magnetic recording

AU - Okamoto, Y.

AU - Masunari, N.

AU - Yamamoto, H.

AU - Osawa, H.

AU - Saito, H.

AU - Muraoka, Hiroaki

AU - Nakamura, Y.

PY - 2002/9/1

Y1 - 2002/9/1

N2 - Performance improvement of partial-response maximum-likelihood (PRML) system in the perpendicular magnetic recording channel with jitter-like noise is studied. Performance of a Viterbi detector is improved by applying an autoregressive (AR) model in order to estimate the detector input sequence. The required signal-to-noise ratio to achieve a bit-error rate (BER) of 10-4 is obtained by computer simulation. In addition, a BER performance is also obtained by read/write experiments using a spinstand. The results show that the proposed PRML system using an AR model exhibits better performance when compared with the normal PRML systems without an AR model.

AB - Performance improvement of partial-response maximum-likelihood (PRML) system in the perpendicular magnetic recording channel with jitter-like noise is studied. Performance of a Viterbi detector is improved by applying an autoregressive (AR) model in order to estimate the detector input sequence. The required signal-to-noise ratio to achieve a bit-error rate (BER) of 10-4 is obtained by computer simulation. In addition, a BER performance is also obtained by read/write experiments using a spinstand. The results show that the proposed PRML system using an AR model exhibits better performance when compared with the normal PRML systems without an AR model.

KW - Autoregressive model

KW - Noise prediction

KW - Partial-response maximum-likelihood channel

KW - Perpendicular magnetic recording

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