Two-dimensional equalization using bilinear recursive polynomial model for holographic data storage systems

Taehyung Kim, Gyuyeol Kong, Sooyong Choi

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In this paper, we propose new two-dimensional (2D) nonlinear equalizers developed on the basis of a bilinear recursive polynomial (BRP) model for holographic data storage (HDS) systems. The 2D BRP equalizer (BRPE) and the 2D BRP decision feedback equalizer (BRPDFE) are proposed. The bit error rate (BER) performances of the proposed schemes are studied in the electrical-noise- dominant channel (ENDC) and the optical-noise-dominant channel (ONDC). The proposed schemes are compared with the conventional adaptive DFE and the partial response maximum likelihood (PRML) detector. The simulation results show that the proposed schemes outperform the adaptive DFE and the PRML detector. In particular, the BRPDFE shows the best BER performance in both the ENDC and the ONDC.

Original languageEnglish
Article number08JD05
JournalJapanese Journal of Applied Physics
Volume51
Issue number8 PART 3
DOIs
Publication statusPublished - 2012 Aug 1

Fingerprint

channel noise
Decision feedback equalizers
data storage
polynomials
Data storage equipment
Equalizers
bit error rate
Bit error rate
Maximum likelihood
Polynomials
Detectors
detectors
Statistical Models
simulation

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Physics and Astronomy(all)

Cite this

@article{fd4978bbcc124a4b833b53e530a1d09c,
title = "Two-dimensional equalization using bilinear recursive polynomial model for holographic data storage systems",
abstract = "In this paper, we propose new two-dimensional (2D) nonlinear equalizers developed on the basis of a bilinear recursive polynomial (BRP) model for holographic data storage (HDS) systems. The 2D BRP equalizer (BRPE) and the 2D BRP decision feedback equalizer (BRPDFE) are proposed. The bit error rate (BER) performances of the proposed schemes are studied in the electrical-noise- dominant channel (ENDC) and the optical-noise-dominant channel (ONDC). The proposed schemes are compared with the conventional adaptive DFE and the partial response maximum likelihood (PRML) detector. The simulation results show that the proposed schemes outperform the adaptive DFE and the PRML detector. In particular, the BRPDFE shows the best BER performance in both the ENDC and the ONDC.",
author = "Taehyung Kim and Gyuyeol Kong and Sooyong Choi",
year = "2012",
month = "8",
day = "1",
doi = "10.1143/JJAP.51.08JD05",
language = "English",
volume = "51",
journal = "Japanese Journal of Applied Physics, Part 1: Regular Papers & Short Notes",
issn = "0021-4922",
publisher = "Japan Society of Applied Physics",
number = "8 PART 3",

}

Two-dimensional equalization using bilinear recursive polynomial model for holographic data storage systems. / Kim, Taehyung; Kong, Gyuyeol; Choi, Sooyong.

In: Japanese Journal of Applied Physics, Vol. 51, No. 8 PART 3, 08JD05, 01.08.2012.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Two-dimensional equalization using bilinear recursive polynomial model for holographic data storage systems

AU - Kim, Taehyung

AU - Kong, Gyuyeol

AU - Choi, Sooyong

PY - 2012/8/1

Y1 - 2012/8/1

N2 - In this paper, we propose new two-dimensional (2D) nonlinear equalizers developed on the basis of a bilinear recursive polynomial (BRP) model for holographic data storage (HDS) systems. The 2D BRP equalizer (BRPE) and the 2D BRP decision feedback equalizer (BRPDFE) are proposed. The bit error rate (BER) performances of the proposed schemes are studied in the electrical-noise- dominant channel (ENDC) and the optical-noise-dominant channel (ONDC). The proposed schemes are compared with the conventional adaptive DFE and the partial response maximum likelihood (PRML) detector. The simulation results show that the proposed schemes outperform the adaptive DFE and the PRML detector. In particular, the BRPDFE shows the best BER performance in both the ENDC and the ONDC.

AB - In this paper, we propose new two-dimensional (2D) nonlinear equalizers developed on the basis of a bilinear recursive polynomial (BRP) model for holographic data storage (HDS) systems. The 2D BRP equalizer (BRPE) and the 2D BRP decision feedback equalizer (BRPDFE) are proposed. The bit error rate (BER) performances of the proposed schemes are studied in the electrical-noise- dominant channel (ENDC) and the optical-noise-dominant channel (ONDC). The proposed schemes are compared with the conventional adaptive DFE and the partial response maximum likelihood (PRML) detector. The simulation results show that the proposed schemes outperform the adaptive DFE and the PRML detector. In particular, the BRPDFE shows the best BER performance in both the ENDC and the ONDC.

UR - http://www.scopus.com/inward/record.url?scp=84865275018&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84865275018&partnerID=8YFLogxK

U2 - 10.1143/JJAP.51.08JD05

DO - 10.1143/JJAP.51.08JD05

M3 - Article

VL - 51

JO - Japanese Journal of Applied Physics, Part 1: Regular Papers & Short Notes

JF - Japanese Journal of Applied Physics, Part 1: Regular Papers & Short Notes

SN - 0021-4922

IS - 8 PART 3

M1 - 08JD05

ER -