Error Event Corrections Using List-NPML Decoding and Error Detection Codes

A List-Noise Predictive Maximum Likelihood (List-NPML) decoding algorithm based on a periodic error detection mechanism is proposed for magnetic recording systems to minimize the number of error events. The proposed detector keeps a list of candidate paths ( candidates per state of a trellis) based...

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Veröffentlicht in:IEEE transactions on magnetics 2013-07, Vol.49 (7), p.3775-3778
Hauptverfasser: Arslan, Suayb S., Jaewook Lee, Goker, Turguy
Format: Artikel
Sprache:eng
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Zusammenfassung:A List-Noise Predictive Maximum Likelihood (List-NPML) decoding algorithm based on a periodic error detection mechanism is proposed for magnetic recording systems to minimize the number of error events. The proposed detector keeps a list of candidate paths ( candidates per state of a trellis) based on the observation that most of the error events can be recovered by finding a set of most likely paths. A periodic decision making process is utilized for every bits based on error detection codes. With this approach, a tradeoff between performance and complexity is studied with various combinations of and . The proposed structure is robust to miscorrections and time-varying error events, eliminating the need for knowing the error event distributions prior to its operation. We also introduced a novel design of parity bits that meets the run length constraints of the channel and a trellis update architecture for improved performance. Simulation results show that the proposed List-NPMLD gives us significant BER performance and post-ECC gains at the expense of some increase in complexity.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2013.2249658