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 |
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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 |
Externally published | Yes |
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