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Noise Correlation-Aided Iterative Decoding for Magnetic Recording Channels

Noise Correlation-Aided Iterative Decoding for Magnetic Recording Channels
Noise Correlation-Aided Iterative Decoding for Magnetic Recording Channels
In this paper, three noise correlation-aided iterative decoding schemes are proposed for magnetic recording channels, where the correlation is imposed by the equalizer's spectral shaping effect. The first approach exploits the noise' correlation in the form of linear prediction-aided detection by increasing the number of detector trellis states invoked by the Bahl, Cocke, Jelinek, and Raviv (BCJR) detection algorithm. In the second approach, we have extended the first technique by employing both previous and future correlated noise samples in order to attain noise estimates. In order to achieve this objective, the classic BCJR algorithm has to be modified for the sake of additionally exploiting future noise samples. The third approach is designed for reducing the decoding complexity by applying the Viterbi Algorithm (VA) to assist the detector in finding the encoded sequences associated with the survivor paths in the detector's trellis, without increasing the number of trellis states. We will demonstrate that for the classic PR4-equalized Lorentzian channel, the proposed schemes are capable of offering a performance gain in the range of 1.1-3.7 dB over that of a benchmark turbo decoding system at the BER of 10-5 and at a recording density of 2.86. Keywords-magnetic recording, noise prediction, turbo codes.
875-880
Vanichchanunt, P
c736899b-7f32-4b91-b317-f98c23bf9b6c
Woradit, K
d2e706b2-d807-4b62-907d-6ac595fff555
Nakpeerayuth, S
8120c587-fa1f-4a7a-8524-f398e087aa81
Wuttisittikulkij, L
973de17b-37aa-410d-86fb-5ae5ae5a9845
Hanzo, L
66e7266f-3066-4fc0-8391-e000acce71a1
Vanichchanunt, P
c736899b-7f32-4b91-b317-f98c23bf9b6c
Woradit, K
d2e706b2-d807-4b62-907d-6ac595fff555
Nakpeerayuth, S
8120c587-fa1f-4a7a-8524-f398e087aa81
Wuttisittikulkij, L
973de17b-37aa-410d-86fb-5ae5ae5a9845
Hanzo, L
66e7266f-3066-4fc0-8391-e000acce71a1

Vanichchanunt, P, Woradit, K, Nakpeerayuth, S, Wuttisittikulkij, L and Hanzo, L (2006) Noise Correlation-Aided Iterative Decoding for Magnetic Recording Channels. IEEE ISCIT'06, Thailand. 18 - 20 Oct 2006. pp. 875-880 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper, three noise correlation-aided iterative decoding schemes are proposed for magnetic recording channels, where the correlation is imposed by the equalizer's spectral shaping effect. The first approach exploits the noise' correlation in the form of linear prediction-aided detection by increasing the number of detector trellis states invoked by the Bahl, Cocke, Jelinek, and Raviv (BCJR) detection algorithm. In the second approach, we have extended the first technique by employing both previous and future correlated noise samples in order to attain noise estimates. In order to achieve this objective, the classic BCJR algorithm has to be modified for the sake of additionally exploiting future noise samples. The third approach is designed for reducing the decoding complexity by applying the Viterbi Algorithm (VA) to assist the detector in finding the encoded sequences associated with the survivor paths in the detector's trellis, without increasing the number of trellis states. We will demonstrate that for the classic PR4-equalized Lorentzian channel, the proposed schemes are capable of offering a performance gain in the range of 1.1-3.7 dB over that of a benchmark turbo decoding system at the BER of 10-5 and at a recording density of 2.86. Keywords-magnetic recording, noise prediction, turbo codes.

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More information

Published date: September 2006
Additional Information: Event Dates: 18-20 October 2006
Venue - Dates: IEEE ISCIT'06, Thailand, 2006-10-18 - 2006-10-20
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 263900
URI: http://eprints.soton.ac.uk/id/eprint/263900
PURE UUID: 9dc58a02-76bd-4012-90d8-0fc3dbe16162
ORCID for L Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 19 Apr 2007
Last modified: 20 Jul 2019 01:26

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Contributors

Author: P Vanichchanunt
Author: K Woradit
Author: S Nakpeerayuth
Author: L Wuttisittikulkij
Author: L Hanzo ORCID iD

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