Inter-track interference mitigation with two-dimensional variable equalizer for bit patterned media recording

The increased track density in bit patterned media recording (BPMR) causes increased inter-track interference (ITI), which degrades the bit error rate (BER) performance. In order to mitigate the effect of the ITI, signals from multiple tracks can be equalized by a 2D equalizer with 1D target. Usuall...

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Main Authors: Yao Wang, B. V. K. Vijaya Kumar
Format: Article
Language:English
Published: AIP Publishing LLC 2017-05-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/1.4978701
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spelling doaj-22f3bfe1f3294190adf4e0dc77767c9c2020-11-25T00:10:19ZengAIP Publishing LLCAIP Advances2158-32262017-05-0175056521056521-810.1063/1.4978701373791ADVInter-track interference mitigation with two-dimensional variable equalizer for bit patterned media recordingYao Wang0B. V. K. Vijaya Kumar1Data Storage Systems Center (DSSC), Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USAData Storage Systems Center (DSSC), Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USAThe increased track density in bit patterned media recording (BPMR) causes increased inter-track interference (ITI), which degrades the bit error rate (BER) performance. In order to mitigate the effect of the ITI, signals from multiple tracks can be equalized by a 2D equalizer with 1D target. Usually, the 2D fixed equalizer coefficients are obtained by using a pseudo-random bit sequence (PRBS) for training. In this study, a 2D variable equalizer is proposed, where various sets of 2D equalizer coefficients are predetermined and stored for different ITI patterns besides the usual PRBS training. For data detection, as the ITI patterns are unknown in the first global iteration, the main and adjacent tracks are equalized with the conventional 2D fixed equalizer, detected with Bahl-Cocke-Jelinek-Raviv (BCJR) detector and decoded with low-density parity-check (LDPC) decoder. Then using the estimated bit information from main and adjacent tracks, the ITI pattern for each island of the main track can be estimated and the corresponding 2D variable equalizers are used to better equalize the bits on the main track. This process is executed iteratively by feeding back the main track information. Simulation results indicate that for both single-track and two-track detection, the proposed 2D variable equalizer can achieve better BER and frame error rate (FER) compared to that with the 2D fixed equalizer.http://dx.doi.org/10.1063/1.4978701
collection DOAJ
language English
format Article
sources DOAJ
author Yao Wang
B. V. K. Vijaya Kumar
spellingShingle Yao Wang
B. V. K. Vijaya Kumar
Inter-track interference mitigation with two-dimensional variable equalizer for bit patterned media recording
AIP Advances
author_facet Yao Wang
B. V. K. Vijaya Kumar
author_sort Yao Wang
title Inter-track interference mitigation with two-dimensional variable equalizer for bit patterned media recording
title_short Inter-track interference mitigation with two-dimensional variable equalizer for bit patterned media recording
title_full Inter-track interference mitigation with two-dimensional variable equalizer for bit patterned media recording
title_fullStr Inter-track interference mitigation with two-dimensional variable equalizer for bit patterned media recording
title_full_unstemmed Inter-track interference mitigation with two-dimensional variable equalizer for bit patterned media recording
title_sort inter-track interference mitigation with two-dimensional variable equalizer for bit patterned media recording
publisher AIP Publishing LLC
series AIP Advances
issn 2158-3226
publishDate 2017-05-01
description The increased track density in bit patterned media recording (BPMR) causes increased inter-track interference (ITI), which degrades the bit error rate (BER) performance. In order to mitigate the effect of the ITI, signals from multiple tracks can be equalized by a 2D equalizer with 1D target. Usually, the 2D fixed equalizer coefficients are obtained by using a pseudo-random bit sequence (PRBS) for training. In this study, a 2D variable equalizer is proposed, where various sets of 2D equalizer coefficients are predetermined and stored for different ITI patterns besides the usual PRBS training. For data detection, as the ITI patterns are unknown in the first global iteration, the main and adjacent tracks are equalized with the conventional 2D fixed equalizer, detected with Bahl-Cocke-Jelinek-Raviv (BCJR) detector and decoded with low-density parity-check (LDPC) decoder. Then using the estimated bit information from main and adjacent tracks, the ITI pattern for each island of the main track can be estimated and the corresponding 2D variable equalizers are used to better equalize the bits on the main track. This process is executed iteratively by feeding back the main track information. Simulation results indicate that for both single-track and two-track detection, the proposed 2D variable equalizer can achieve better BER and frame error rate (FER) compared to that with the 2D fixed equalizer.
url http://dx.doi.org/10.1063/1.4978701
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