Modified Two-Dimensional Soft Output Viterbi Algorithm with Two-Dimensional Partial Response Target for Holographic Data Storage

Koo, Keunhwi; Kim, Soo-Yong; Kim, Sang Woo

doi:10.7567/jjap.51.08jb03

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…To avoid f = g = 0 for an optimal value of MSE in Equations ( 13), we should impose the condition for (13). Therefore, the optimal problem is as follows:…”

Section: D Equalizer and Gpr Targetmentioning

confidence: 99%

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Two-Dimensional Interference Estimator with Parallel Structure for Holographic Data Storage Channel

Nguyen

Lee

2022

Applied Sciences

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Recently, holographic data storage (HDS) has attracted significant attention as the next-generation storage technology because of its large capacity and high-speed transfer capabilities. However, two-dimensional (2D) inter-symbol interference (ISI) is a critical problem encountered in HDS. Therefore, in this study, we propose a 2D interference estimator to prevent the 2D ISI. In addition, we propose a parallel structure to exploit horizontal interference (HI) and vertical interference (VI) effectively. After detecting the HI and VI, the signal is combined using an average function. The simulation results indicate that the proposed model can significantly improve the performance of HDS.

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“…To avoid f = g = 0 for an optimal value of MSE in Equations ( 13), we should impose the condition for (13). Therefore, the optimal problem is as follows:…”

Section: D Equalizer and Gpr Targetmentioning

confidence: 99%

“…In addition, modulation and error correcting codes have been proposed to solve the 2D ISI [8][9][10][11]. Specifically, in signal processing, the equalizer combined with the partial response maximum likelihood (PRML) reduces the 2D ISI significantly [3,[12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Two-Dimensional Interference Estimator with Parallel Structure for Holographic Data Storage Channel

Nguyen

Lee

2022

Applied Sciences

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“…The previously modified 2D soft output Viterbi algorithm (SOVA) for HDS consists of four 1D SOVAs in accordance with two different 1D partial response (PR) targets (vertical and horizontal directions). Recently, Koo et al proposed a detection method in structural accordance with a 2D PR target through the use of the modified 2D SOVA [91]. The proposed method shows superior BER performance owing to the use of a 2D PR target that contains more information than the 1D PR target.…”

Section: Threshold Detection and Partial Response Maximum Likelihood mentioning

confidence: 99%

Recent advances in holographic data storage

Ruan

2014

Front. Optoelectron.

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Nowadays, big-data centers still rely on hard drives. However, there is strong evidence that these surface-storage technologies are approaching fundamental limits that may be difficult to overcome, as ever-smaller bits become less thermally stable and harder to access. An intriguing approach for next generation data-storage is to use light to store information throughout the threedimensional (3D) volume of a material. Holographic data storage (HDS) is poised to change the way we write and retrieve data forever. After many years of developing appropriate recording media and optical read-write architectures, this promising technology is now moving industriously to the market. In this paper, a review of the major achievements of HDS in the past ten years is presented and the key technique details are discussed. The author concludes that HDS technology is an attractive candidate for big data centers in the future. On the other hand, there are many challenges ahead for HDS technology to overcome in the years to come.

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“…5,6) Therefore, strong signal processing techniques are necessarily required to achieve high-density recording in HDS systems. [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] Several 2D partial response maximum likelihood (PRML) detection schemes have been introduced for HDS systems. [24][25][26][27][28] Although these schemes show good bit error rate (BER) performance in the presence of a strong 2D ISI, the BER performance of these schemes is seriously degraded when the misalignment is dominant.…”

Section: Introductionmentioning

confidence: 99%

A two-dimensional partial response maximum likelihood detection scheme for misalignment compensation in holographic data storage systems

Kong

Choi²

2017

Jpn. J. Appl. Phys.

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A two-dimensional (2D) partial response maximum likelihood (PRML) detection scheme for misalignment compensation for holographic data storage systems is proposed. In the proposed detection scheme, a misalignment estimator and a predetermined table are added to the conventional 2D PRML scheme to estimate and reflect the effect of misalignment in the vertical and horizontal directions, respectively. In the vertical detection, the misalignment estimator located behind the vertical 2D equalizer and one-dimensional PRML detector estimates the misalignment by the adaptive least-mean-square algorithm (LMS). To improve the estimation accuracy, the misalignment is estimated iteratively by modifying the vertical equalizer coefficients reflecting the estimated misalignment. By considering the estimated misalignment, the vertical 2D equalizer coefficients, horizontal 2D equalizer coefficients, and 2D partial response (PR) target are selected among the predetermined table. In the predetermined table, the vertical and horizontal 2D equalizer coefficients for various misalignments were previously computed on the basis of the misalignment and 2D PR target by the LMS. By employing the horizontal 2D equalizer coefficients and 2D PR target reflecting the misalignment in the horizontal detection, the effect of misalignment is effectively mitigated. Simulation results show that the proposed scheme has more than 3 dB gains than the conventional scheme in the 10% misalignment in the horizontal and vertical directions.

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Modified Two-Dimensional Soft Output Viterbi Algorithm with Two-Dimensional Partial Response Target for Holographic Data Storage

Cited by 5 publications

References 18 publications

Two-Dimensional Interference Estimator with Parallel Structure for Holographic Data Storage Channel

Two-Dimensional Interference Estimator with Parallel Structure for Holographic Data Storage Channel

Recent advances in holographic data storage

A two-dimensional partial response maximum likelihood detection scheme for misalignment compensation in holographic data storage systems

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