Performance of BCJR-DFE detectors over recording channels using pattern-dependent noise prediction

Nangare, Nitin; Yang, Xueshi; Kurtas, E.; Narayanan, Krishna R.

doi:10.1109/tmag.2005.854449

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2007

Publication Types

Select...

Other1

Article1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The application of LDPC codes to perpendicular magnetic recording has been studied in prior works [8]- [12], but none of these papers contain all of the following components:…”

Section: Introductionmentioning

confidence: 99%

Performance of a Structured IRA Code on a Perpendicular Recording Channel with Media Noise

Han

Ryan

2007

IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference

View full text Add to dashboard Cite

Abstract-We examine the performance of a rate-0.9 structured irregular repeat-accumulate (S-IRA) code on a perpendicular magnetic recording (PMR) channel with media noise. To account for the presence of data-dependent media noise, a pattern-dependent-noise-predictive (PDNP) channel detector is employed, in which the prediction filters are trained using the LMS algorithm. We compare the error rate performance of the S-IRA code with that of a Reed-Solomon (RS) code of the same length and rate, with the PDNP detector present in both cases. Our results show that the S-IRA code achieves a gain of over 1 dB relative to the RS code for sector error rates down past 10 −4 , but only if the columns of its H-matrix are properly permuted. We have also estimated that the linear density gain attainable by the S-IRA code relative to the RS code is about 8% for the operating point we have chosen.

show abstract

“…The application of LDPC codes to perpendicular magnetic recording has been studied in prior works [8]- [12], but none of these papers contain all of the following components:…”

Section: Introductionmentioning

confidence: 99%