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

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


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 languageEnglish
Pages (from-to)2570-2572
Number of pages3
JournalIEEE Transactions on Magnetics
Issue number5 II
Publication statusPublished - 2003 Sep
Externally publishedYes


  • 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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