Two-Dimensional Soft Output Viterbi Algorithm with a Variable Reliability Factor for Holographic Data Storage

Koo, Keunhwi; Kim, Soo-Yong; Jeong, Jae Jin; Kim, Sang Woo

doi:10.7567/jjap.52.09le03

Cited by 12 publications

(16 citation statements)

References 29 publications

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“…From a perspective of a priori information, the performance of the iterative process does not improve either. In a recent study, a proposed model of a 2D SOVA was presented with a variable reliability coefficient, considering the effect of diagonal elements [6]. A 2D PR target was used that included diagonal elements in the form of {…”

Section: Simulation Resultsmentioning

confidence: 99%

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Iterative detection supported by extrinsic information for holographic data storage systems

Nguyen

Lee

2015

Electron. lett.

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A new model in which an iterative detection is supported by extrinsic information from equalisers is proposed. Furthermore, the system performance involving extrinsic information from an opposite direction one-dimensional soft output Viterbi algorithm is examined. The work is applied to holographic data storage (HDS) systems. The HDS systems are well known as a future storage system because of their extremely large storage capacity and high data transfer rates. However, the system faces two-dimensional interference challenges. The results show that the proposed model vastly improves the performance of the HDS system under severe interference.

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Section: Simulation Resultsmentioning

confidence: 99%

“…In a recent study, a proposed model of a 2D SOVA was presented with a variable reliability coefficient, considering the effect of diagonal elements [6]. A 2D PR target was used that included diagonal elements in the form of {[1/ M , 1, 1/ M ]; [1, M , 1]; [1/ M , 1, 1/ M ]}.…”

Section: Simulation Resultsmentioning

confidence: 99%

Iterative detection supported by extrinsic information for holographic data storage systems

Nguyen

Lee

2015

Electron. lett.

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“…In a practical HDS system, the reconstruction process for a data page should account for the processing time as well as the BER performance. To improve both aspects, they introduced 2D PRML composed of a 2D PR target including diagonal elements and a 2D SOVA with a variable reliability factor [92]. The 2D SOVA performs two 1D SOVAs in structural accordance with the 2D PR target where extrinsic information uses the expected value calculated on a synchronization pattern.…”

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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“…Thereafter, in the read process of the HDS system, the 2D data pages are captured as an image with a charge-coupled device (CCD) sensor [1]. Thus, the read-back data are distorted by 2D inter-symbol interference (ISI), pixel blur, misalignment, and noise [3].…”

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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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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Two-Dimensional Soft Output Viterbi Algorithm with a Variable Reliability Factor for Holographic Data Storage

Cited by 12 publications

References 29 publications

Iterative detection supported by extrinsic information for holographic data storage systems

Iterative detection supported by extrinsic information for holographic data storage systems

Recent advances in holographic data storage

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

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