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 › peer-review

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 2005

Keywords

Belief propagation
Channel detection
Longitudinal recording channels
Noise prediction

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

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10.1109/TMAG.2005.857101

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title = "Noise predictive belief propagation",

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.",

keywords = "Belief propagation, Channel detection, Longitudinal recording channels, Noise prediction",

author = "Kaynak, {Mustafa N.} and Duman, {Tolga M.} and Kurtas, {Erozan M.}",

note = "Funding Information: This work was supported by a grant from Seagate Technology, and it was presented in part at the IEEE International Conference on Communications (ICC{\textquoteright}05), Seoul, Korea, May 2005 [22]. Part of this work was performed while the second author was on a sabbatical leave at Bilkent University, Turkey.",

year = "2005",

month = dec,

doi = "10.1109/TMAG.2005.857101",

language = "English (US)",

volume = "41",

pages = "4427--4434",

journal = "IEEE Transactions on Magnetics",

issn = "0018-9464",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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TY - JOUR

T1 - Noise predictive belief propagation

AU - Kaynak, Mustafa N.

AU - Duman, Tolga M.

AU - Kurtas, Erozan M.

N1 - Funding Information: This work was supported by a grant from Seagate Technology, and it was presented in part at the IEEE International Conference on Communications (ICC’05), Seoul, Korea, May 2005 [22]. Part of this work was performed while the second author was on a sabbatical leave at Bilkent University, Turkey.

PY - 2005/12

Y1 - 2005/12

N2 - 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.

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.

KW - Belief propagation

KW - Channel detection

KW - Longitudinal recording channels

KW - Noise prediction

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JO - IEEE Transactions on Magnetics

JF - IEEE Transactions on Magnetics

SN - 0018-9464

IS - 12

ER -

Noise predictive belief propagation

Abstract

Keywords

ASJC Scopus subject areas

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