A Study of Turbo Decoding With Embedded AR Channel Model for Perpendicular Recording

Yasuaki Nakamura; Yoshihiro Okamoto; Hisashi Osawa; Hidetoshi Saito; Hiroaki Muraoka; Yoshihisa Nakamura

doi:10.1109/TMAG.2003.816482

A Study of Turbo Decoding With Embedded AR Channel Model for Perpendicular Recording

Yasuaki Nakamura, Yoshihiro Okamoto, Hisashi Osawa, Hidetoshi Saito, Hiroaki Muraoka, Yoshihisa Nakamura

Broadband Engineering Division

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Turbo decoding with an embedded autoregressive (AR) channel model is studied in an actual perpendicular magnetic recording channel. Performance of the a posteriori probability (APP) decoder is improved by applying an AR channel model in order to estimate the decoder input sequence. The bit-error-rate (BER) performance is obtained by read/write experiments using a spin stand with a perpendicular medium and an single-pole-type/giant magnetoresistive (SPT/GMR) head. The results show that our turbo coding and iterative decoding system using an AR channel model improves the BER performance.

Original language	English
Pages (from-to)	2570-2572
Number of pages	3
Journal	IEEE Transactions on Magnetics
Volume	39
Issue number	5 II
DOIs	https://doi.org/10.1109/TMAG.2003.816482
Publication status	Published - 2003 Sep

Keywords

Autoregressive (AR) channel model
Iterative decoding
Perpendicular magnetic recording
Signal-dependent noise prediction
Turbo coding

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

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title = "A Study of Turbo Decoding With Embedded AR Channel Model for Perpendicular Recording",

abstract = "Turbo decoding with an embedded autoregressive (AR) channel model is studied in an actual perpendicular magnetic recording channel. Performance of the a posteriori probability (APP) decoder is improved by applying an AR channel model in order to estimate the decoder input sequence. The bit-error-rate (BER) performance is obtained by read/write experiments using a spin stand with a perpendicular medium and an single-pole-type/giant magnetoresistive (SPT/GMR) head. The results show that our turbo coding and iterative decoding system using an AR channel model improves the BER performance.",

keywords = "Autoregressive (AR) channel model, Iterative decoding, Perpendicular magnetic recording, Signal-dependent noise prediction, Turbo coding",

author = "Yasuaki Nakamura and Yoshihiro Okamoto and Hisashi Osawa and Hidetoshi Saito and Hiroaki Muraoka and Yoshihisa Nakamura",

note = "Funding Information: Manuscript received December 29, 2002. This work was supported in part by the Scientific Research of Japan Society for the Promotion of Science (JSPS) under Grant-in-Aid No. 13650412 and by the Storage Research Consortium (SRC), Japan, under a Grant-in-Aid.",

year = "2003",

month = sep,

doi = "10.1109/TMAG.2003.816482",

language = "English",

volume = "39",

pages = "2570--2572",

journal = "IEEE Transactions on Magnetics",

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T1 - A Study of Turbo Decoding With Embedded AR Channel Model for Perpendicular Recording

AU - Nakamura, Yasuaki

AU - Okamoto, Yoshihiro

AU - Osawa, Hisashi

AU - Saito, Hidetoshi

AU - Muraoka, Hiroaki

AU - Nakamura, Yoshihisa

N1 - Funding Information: Manuscript received December 29, 2002. This work was supported in part by the Scientific Research of Japan Society for the Promotion of Science (JSPS) under Grant-in-Aid No. 13650412 and by the Storage Research Consortium (SRC), Japan, under a Grant-in-Aid.

PY - 2003/9

Y1 - 2003/9

N2 - Turbo decoding with an embedded autoregressive (AR) channel model is studied in an actual perpendicular magnetic recording channel. Performance of the a posteriori probability (APP) decoder is improved by applying an AR channel model in order to estimate the decoder input sequence. The bit-error-rate (BER) performance is obtained by read/write experiments using a spin stand with a perpendicular medium and an single-pole-type/giant magnetoresistive (SPT/GMR) head. The results show that our turbo coding and iterative decoding system using an AR channel model improves the BER performance.

AB - Turbo decoding with an embedded autoregressive (AR) channel model is studied in an actual perpendicular magnetic recording channel. Performance of the a posteriori probability (APP) decoder is improved by applying an AR channel model in order to estimate the decoder input sequence. The bit-error-rate (BER) performance is obtained by read/write experiments using a spin stand with a perpendicular medium and an single-pole-type/giant magnetoresistive (SPT/GMR) head. The results show that our turbo coding and iterative decoding system using an AR channel model improves the BER performance.

KW - Autoregressive (AR) channel model

KW - Iterative decoding

KW - Perpendicular magnetic recording

KW - Signal-dependent noise prediction

KW - Turbo coding

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JO - IEEE Transactions on Magnetics

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A Study of Turbo Decoding With Embedded AR Channel Model for Perpendicular Recording

Abstract

Keywords

ASJC Scopus subject areas

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