Noise predictive belief propagation

Mustafa N. Kaynak; Tolga M. Duman; Erozan M. Kurtas

doi:10.1109/TMAG.2005.857101

Noise predictive belief propagation

Mustafa N. Kaynak, Tolga M. Duman, Erozan M. Kurtas

Electrical, Computer, and Energy Engineering, School of (ECEE)

Research output: Contribution to journal › Article

12 Scopus citations

Abstract

We introduce iterative noise whitening for belief-propagation-based channel detectors over intersymbol interference channels with correlated additive noise. In particular, we consider longitudinal magnetic recording systems. The proposed "noise predictive belief propagation" (NPBP) detector iteratively whitens the noise samples by modifying the edge probability computation. NPBP detectors based on finite impulse response and infinite impulse response prediction filters are developed. In addition, we introduce a novel prediction filter optimization method leading to a better noise whitening performance. Simulation results for both coded and uncoded systems show that significant improvements can be obtained.

Original language	English (US)
Pages (from-to)	4427-4434
Number of pages	8
Journal	IEEE Transactions on Magnetics
Volume	41
Issue number	12
DOIs	https://doi.org/10.1109/TMAG.2005.857101
State	Published - Dec 1 2005

Keywords

Belief propagation
Channel detection
Longitudinal recording channels
Noise prediction

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Access to Document

10.1109/TMAG.2005.857101

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Cite this

Kaynak, M. N., Duman, T. M., & Kurtas, E. M. (2005). Noise predictive belief propagation. IEEE Transactions on Magnetics, 41(12), 4427-4434. https://doi.org/10.1109/TMAG.2005.857101

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AB - We introduce iterative noise whitening for belief-propagation-based channel detectors over intersymbol interference channels with correlated additive noise. In particular, we consider longitudinal magnetic recording systems. The proposed "noise predictive belief propagation" (NPBP) detector iteratively whitens the noise samples by modifying the edge probability computation. NPBP detectors based on finite impulse response and infinite impulse response prediction filters are developed. In addition, we introduce a novel prediction filter optimization method leading to a better noise whitening performance. Simulation results for both coded and uncoded systems show that significant improvements can be obtained.

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