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 | |
| Publication status | Published - 2003 Sep 1 |
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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Nakamura, Y., Okamoto, Y., Osawa, H., Saito, H., Muraoka, H., & Nakamura, Y. (2003). A Study of Turbo Decoding With Embedded AR Channel Model for Perpendicular Recording. IEEE Transactions on Magnetics, 39(5 II), 2570-2572. https://doi.org/10.1109/TMAG.2003.816482