NDLI: Baseline Wander Cancellation on Trellis for Perpendicular Magnetic Recording

Content Provider	IEEE Xplore Digital Library
Author	Kumar, N.
Copyright Year	1972
Abstract	In this work, we consider a perpendicular magnetic recording channel where the data is stored perpendicular to the plane of magnetic media. The perpendicular magnetic recording provides significant aerial density gain compared to the conventional longitudinal magnetic recording. This gain comes at the cost of adding a baseline wander noise which degrades the system performance and affects the data integrity. In this article, we propose a model for the baseline wander noise. The parameters of the proposed model are computed by posing the problem as minimizing the mean square error. We demonstrate that this problem can be appropriately simplified and posed as finding a least squares problem. The proposed model on the baseline wander noise requires the knowledge of information bits to estimate the noise but this information is unavailable at the time of decoding. We propose a novel technique to cancel the baseline wander effect on the Viterbi trellis. This cancellation is done on the fly in the trellis and obviates the need of the information bits yet provides the performance gain close to the genie performance. Simulation and experimental results corroborate the analysis of the proposed algorithm and demonstrate that the proposed algorithm provides the performance gain.
Starting Page	3600
Ending Page	3606
Page Count	7
File Size	399518
File Format	PDF
ISSN	00906778
Volume Number	63
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise Viterbi algorithm Equalizers Perpendicular magnetic recording Maximum likelihood decoding Channel models Viterbi detector Baseline wander (BLW) maximum likelihood sequence estimation (MLSE)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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