DocumentCode
1480691
Title
On reverse concatenation and soft decoding algorithms for PRML magnetic recording channels
Author
Reggiani, Luca ; Tartara, Guido
Author_Institution
Dipt. di Elettronica ed Inf., Politecnico di Milano, Italy
Volume
19
Issue
4
fYear
2001
fDate
4/1/2001 12:00:00 AM
Firstpage
612
Lastpage
618
Abstract
High-density magnetic recording systems require increasingly sophisticated signal processing techniques. In magnetic recording channels, the information bits are encoded by the concatenation of an outer nonbinary error correcting code (ECC) and an inner line code. Furthermore, the high intersymbol interference that characterizes the channel is controlled by “partial response” equalization. This paper presents a study on a better-integrated decoding procedure between the inner and outer codes. Inversion of the concatenated codes (reverse concatenation) allows the direct mapping of soft information from the partial response channel to the outer ECC. A simplified soft decoding technique, based on the use of erasures, is applied to two typical magnetic recording systems. Performance curves are obtained by an analysis of the distributions of the reliability measures associated with incorrect and correct symbols
Keywords
concatenated codes; decoding; digital magnetic recording; error correction codes; intersymbol interference; partial response channels; PRML channels; concatenated codes inversion; correct symbols; decoding procedure; erasures decoding; high-density magnetic recording; incorrect symbols; inner line code; intersymbol interference; magnetic recording channels; outer nonbinary error correcting code; partial response equalization; partial response maximum likelihood channel; performance curves; reliability measures; reverse concatenation; signal processing techniques; soft decoding algorithms; Block codes; Detectors; Error correction codes; Intersymbol interference; Magnetic analysis; Magnetic recording; Maximum likelihood decoding; Maximum likelihood detection; Performance analysis; Signal processing algorithms;
fLanguage
English
Journal_Title
Selected Areas in Communications, IEEE Journal on
Publisher
ieee
ISSN
0733-8716
Type
jour
DOI
10.1109/49.920170
Filename
920170
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