Paper Info
Title
Graph-based channel detection for multitrack recording channels
Abstract
We propose a low complexity detection technique for multihead multitrack recording systems. By exploiting sparseness of two-dimensional partial response (PR) channels, we develop an algorithm which performs belief propagation (BP) over corresponding factor graphs. We consider the BP-based detector not only for partial response channels but also for more practical conventional media and bit-patterned media storage systems, with and without media noise. Compared to the maximum likelihood detector which has a prohibitively high complexity that is exponential with both the number of tracks and the number of intersymbol interference (ISI) taps, the proposed detector has a much lower complexity and a fast parallel structure. For the multitrack recording systems with PR equalization, the price is a small performance penalty (less than one dB if the intertrack interference (ITI) is not too high). Furthermore, since the algorithm is soft-input soft-output in nature, turbo equalization can be employed if there is an outer code. We show that a few turbo equalization iterations can provide significant performance improvement even when the ITI level is high.
Year
DOI
Venue
2008
10.1155/2008/738281
EURASIP J. Adv. Sig. Proc.
Keywords
Field
DocType
Medium Storage,Factor Graph,Response Channel,Record Channel,Channel Detection
Turbo,Factor graph,Intersymbol interference,Concatenated error correction code,Equalization (audio),Computer science,Algorithm,Detector,Multitrack recording,Belief propagation
Journal
Volume
Issue
ISSN
2008,
1
1687-6180
Citations 
PageRank 
References 
1
0.48
13
Authors
3
Name
Order
Citations
PageRank
Jun Hu11288.51
Tolga M. Duman235147.37
M. Fatih Erden3658.49