Linear minimum mean squared error (LMMSE) equalization for holographic data storage

M. Keskinoz, B. V.K. Vijaya Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

A holographic data storage system (HDSS), just like other storage systems, suffers from interference between adjacent symbols and from noise. In this paper, we present a method for applying the linear minimum mean squared error (LMMSE) equalization to a HDSS. Numerical results with five defocused pages of data indicate that a significant improvement in the bit error rate (BER) is possible using LMMSE equalization.

Original languageEnglish
Title of host publication1999 IEEE International Conference on Communications, ICC 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1957-1961
Number of pages5
ISBN (Electronic)078035284X
DOIs
Publication statusPublished - 1999
Externally publishedYes
Event1999 IEEE International Conference on Communications, ICC 1999 - Vancouver, Canada
Duration: 6 Jun 199910 Jun 1999

Publication series

NameIEEE International Conference on Communications
Volume3
ISSN (Print)1550-3607

Conference

Conference1999 IEEE International Conference on Communications, ICC 1999
Country/TerritoryCanada
CityVancouver
Period6/06/9910/06/99

Bibliographical note

Publisher Copyright:
© 1999 IEEE.

Funding

The authors would like to acknowledge Optitek Inc. (now Siros Inc.) for providing the holographically imaged pages used in this research. This research was supported in part by the National science Foundation under grant # ECD-8907068 and in part by the DARPANSIC HDSS team.

FundersFunder number
National Science FoundationECD-8907068

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