|Author||Sawaguchi, H. ♦ Nishida, Y. ♦ Nakagawa, T.|
|Sponsorship||IEEE Magnetics Society|
|Source||IEEE Xplore Digital Library|
|Publisher||Institute of Electrical and Electronics Engineers, Inc. (IEEE)|
|Subject Domain (in DDC)||Natural sciences & mathematics ♦ Physics ♦ Electricity & electronics ♦ Technology ♦ Engineering & allied operations ♦ Applied physics|
|Subject Keyword||Performance analysis ♦ Maximum likelihood decoding ♦ Detectors ♦ Event detection ♦ Magnetic recording ♦ Error correction ♦ Magnetic noise ♦ Noise reduction ♦ Maximum likelihood detection ♦ Statistics|
|Abstract||A soft-output data-detection scheme optimized for data-dependent media-noise recording channels is investigated that uses signal-dependent correlation-sensitive (SDCS) metric computation for post-processing decoding. This media-noise soft-output (MNS) decoding scheme achieves suboptimal maximum-likelihood (ML) sequence detection in a nonstationary media-noise channel, while still using traditional Viterbi detection. Because it drastically reduces SDCS metric computation by focusing on correcting only the dominant error events in the ML detector, it is less complex than other suboptimal detection schemes. Moreover, the MNS decoding scheme provides parity-check-code decoding with more reliable soft-output information. Simulation showed that MNS decoding in conjunction with a conventional ME/sup 2/PRML system, provides an excellent tradeoff between data-detection performance and computation complexity for a jitter-noise dominant high-density recording channel.|
|Description||Author affiliation :: San Jose Res. Center, Hitachi Global Storage Technol. Inc., San Jose, CA, USA|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Rights Holder||Institute of Electrical and Electronics Engineers, Inc. (IEEE)|
|Size (in Bytes)||198.63 kB|
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