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
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;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2005.854449