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 | |
| State | Published - Dec 2005 |
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Keywords
- Belief propagation
- Channel detection
- Longitudinal recording channels
- Noise prediction
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Physics and Astronomy (miscellaneous)
Cite this
Noise predictive belief propagation. / Kaynak, Mustafa N.; Duman, Tolga M.; Kurtas, Erozan M.
In: IEEE Transactions on Magnetics, Vol. 41, No. 12, 12.2005, p. 4427-4434.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Noise predictive belief propagation
AU - Kaynak, Mustafa N.
AU - Duman, Tolga M.
AU - Kurtas, Erozan M.
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
UR - http://www.scopus.com/inward/record.url?scp=29744467754&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=29744467754&partnerID=8YFLogxK
U2 - 10.1109/TMAG.2005.857101
DO - 10.1109/TMAG.2005.857101
M3 - Article
AN - SCOPUS:29744467754
VL - 41
SP - 4427
EP - 4434
JO - IEEE Transactions on Magnetics
JF - IEEE Transactions on Magnetics
SN - 0018-9464
IS - 12
ER -