DocumentCode
1190955
Title
Performance of BCJR-DFE detectors over recording channels using pattern-dependent noise prediction
Author
Nangare, Nitin ; Yang, Xueshi ; Kurtas, Erozan ; Narayanan, Krishna
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume
41
Issue
10
fYear
2005
Firstpage
2971
Lastpage
2973
Abstract
A noniterative receiver, namely Bahl-Cocke-Jelinek-Raviv (BCJR)-decision feedback equalizer (DFE), for achieving near capacity performance for intersymbol interference channels was proposed earlier. In this paper, we investigate the performance of BCJR-DFE receivers for recording channels with pattern-dependent media noise. To account for the media noise, we integrated pattern-dependent noise prediction (PDNP) into the BCJR-DFE receiver and evaluated its performance by comparing it to conventional iterative (turbo)-coded recording channels. Numerical simulations suggest that PDNP BCJR-DFE receivers provide superior or comparable performance as a turbo receiver, albeit with lower computation complexity and longer processing delays.
Keywords
decision feedback equalisers; error detection codes; intersymbol interference; magnetic recording; BCJR-DFE detectors; Bahl-Cocke-Jelinek-Raviv decision feedback equalizer; intersymbol interference; pattern dependent noise prediction; recording channels; AWGN; Additive white noise; Decision feedback equalizers; Detectors; Gaussian noise; Intersymbol interference; Iterative decoding; Maximum likelihood decoding; Maximum likelihood detection; Signal to noise ratio; Bahl–Cocke–Jelinek–Raviv (BCJR)-decision feedback equalizer (DFE) algorithm; media noise; noise prediction; pattern-dependent noise;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2005.854449
Filename
1519177
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