2007
DOI: 10.1143/jjap.46.3812
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A Modified Low-Density Parity-Check Decoder for Holographic Data Storage System

Abstract: A modified low-density parity-check decoding scheme for holographic data storage has been developed and evaluated. It compensates the negative effect from neighboring pixels during the iterative decoding process, which improves the overall error-correction performance when pixels are misaligned. A simulation shows that the proposed scheme outperforms a conventional log-likelihood-ratio (LLR) belief-propagation (BP) algorithm.

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Cited by 7 publications
(6 citation statements)
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References 6 publications
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“…In particular, equalization is effective for the low-density parity-check (LDPC) decoding process proposed by Chung et al 5) The LDPC decoding algorithm requires information on the probability of the received channel data. The probability is calculated using the intensity difference between the ''On'' and ''Off'' pixels in the retrieved data page.…”
Section: Equalization Schemementioning
confidence: 99%
See 1 more Smart Citation
“…In particular, equalization is effective for the low-density parity-check (LDPC) decoding process proposed by Chung et al 5) The LDPC decoding algorithm requires information on the probability of the received channel data. The probability is calculated using the intensity difference between the ''On'' and ''Off'' pixels in the retrieved data page.…”
Section: Equalization Schemementioning
confidence: 99%
“…The retrieved images from the HDDS system typically have a very low signal-to-noise ratio (SNR); therefore, an effective signal processing scheme is required for a reliable data readout. [2][3][4][5] In this paper, we introduce a misalignment compensation scheme to remove an undesired signal error due to misalignment between data and detector pixels, and an equalization technique based on a two-dimensional (2D) modulation code to reduce the detection error due to bright ''Off'' and dark ''On'' pixels in a retrieved data page. Generally, the intensity of data pixel decreases from the center to the edges of the retrieved data page.…”
Section: Introductionmentioning
confidence: 99%
“…1) To manage these two problems, many kinds of equalizers, [3][4][5][6][7][8] modulation codes, [9][10][11][12][13][14] and error correcting codes were developed. [15][16][17] To compensate for data distortion, we propose two types of 2D iterative decoding (ID) schemes. One is the ID scheme using a single parity bit (ID-SPB).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, an effective signal processing algorithm has been proposed for reliable data readout over noisy HDDS channels. [3][4][5][6][7][8] Appropriate channel coding and decoding schemes are implemented with a field-programmable gate array (FPGA) chip for fast data processing. The hardware channel board is designed to demonstrate real-time recording and reading of the DEPROTO-III, which is the prototype HDDS developed at Daewoo.…”
Section: Introductionmentioning
confidence: 99%