Performance comparison of equalization/detection schemes for magnification error-dominated volume holographic storage channel

Mehmet Keskinoz; B. V.K.Vijaya Kumar

doi:10.1117/12.555754

Performance comparison of equalization/detection schemes for magnification error-dominated volume holographic storage channel

Mehmet Keskinoz^*, B. V.K.Vijaya Kumar

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract

Data pages retrieved from a volume holographic storage channel (VHSC) suffer from inter-symbol interference (ISI) and noise. Assuming ISI does not change spatially (i.e., stationary), 2-D equalization/detection schemes has been previously developed for quadratic channels like VHSC. In practice, however, the point spread function of a VHSC changes spatially due to magnification and misalignment errors. In this paper, we develop a channel model for magnification error (ME) dominated VHSC and also evaluate the effect of ME on the equalization/detection performance. Results indicate that the recently introduced iterative magnitude-squared decision feedback equalization (IMSDFE) method is more robust to magnification error compared to linear minimum mean squared-error (LMMSE) equalization and adaptive threshold detection (ATD).

Original language	English
Pages (from-to)	602-609
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5380
DOIs	https://doi.org/10.1117/12.555754
Publication status	Published - 2004
Externally published	Yes
Event	Optical Data Storage 2004 - Monterey, CA, United States Duration: 18 Apr 2004 → 21 Apr 2004

Keywords

Equalization/Detection
Intersymbol-Interference
Magnification Error
Quadratic Channels
Volume Holographic Storage

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10.1117/12.555754

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title = "Performance comparison of equalization/detection schemes for magnification error-dominated volume holographic storage channel",

abstract = "Data pages retrieved from a volume holographic storage channel (VHSC) suffer from inter-symbol interference (ISI) and noise. Assuming ISI does not change spatially (i.e., stationary), 2-D equalization/detection schemes has been previously developed for quadratic channels like VHSC. In practice, however, the point spread function of a VHSC changes spatially due to magnification and misalignment errors. In this paper, we develop a channel model for magnification error (ME) dominated VHSC and also evaluate the effect of ME on the equalization/detection performance. Results indicate that the recently introduced iterative magnitude-squared decision feedback equalization (IMSDFE) method is more robust to magnification error compared to linear minimum mean squared-error (LMMSE) equalization and adaptive threshold detection (ATD).",

keywords = "Equalization/Detection, Intersymbol-Interference, Magnification Error, Quadratic Channels, Volume Holographic Storage",

author = "Mehmet Keskinoz and Kumar, {B. V.K.Vijaya}",

year = "2004",

doi = "10.1117/12.555754",

language = "English",

volume = "5380",

pages = "602--609",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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publisher = "SPIE",

note = "Optical Data Storage 2004 ; Conference date: 18-04-2004 Through 21-04-2004",

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T1 - Performance comparison of equalization/detection schemes for magnification error-dominated volume holographic storage channel

AU - Keskinoz, Mehmet

AU - Kumar, B. V.K.Vijaya

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N2 - Data pages retrieved from a volume holographic storage channel (VHSC) suffer from inter-symbol interference (ISI) and noise. Assuming ISI does not change spatially (i.e., stationary), 2-D equalization/detection schemes has been previously developed for quadratic channels like VHSC. In practice, however, the point spread function of a VHSC changes spatially due to magnification and misalignment errors. In this paper, we develop a channel model for magnification error (ME) dominated VHSC and also evaluate the effect of ME on the equalization/detection performance. Results indicate that the recently introduced iterative magnitude-squared decision feedback equalization (IMSDFE) method is more robust to magnification error compared to linear minimum mean squared-error (LMMSE) equalization and adaptive threshold detection (ATD).

AB - Data pages retrieved from a volume holographic storage channel (VHSC) suffer from inter-symbol interference (ISI) and noise. Assuming ISI does not change spatially (i.e., stationary), 2-D equalization/detection schemes has been previously developed for quadratic channels like VHSC. In practice, however, the point spread function of a VHSC changes spatially due to magnification and misalignment errors. In this paper, we develop a channel model for magnification error (ME) dominated VHSC and also evaluate the effect of ME on the equalization/detection performance. Results indicate that the recently introduced iterative magnitude-squared decision feedback equalization (IMSDFE) method is more robust to magnification error compared to linear minimum mean squared-error (LMMSE) equalization and adaptive threshold detection (ATD).

KW - Equalization/Detection

KW - Intersymbol-Interference

KW - Magnification Error

KW - Quadratic Channels

KW - Volume Holographic Storage

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DO - 10.1117/12.555754

M3 - Conference article

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VL - 5380

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EP - 609

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Optical Data Storage 2004

Y2 - 18 April 2004 through 21 April 2004

ER -

Performance comparison of equalization/detection schemes for magnification error-dominated volume holographic storage channel

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Keywords

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