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Improvement of bit error rate and page alignment in the holographic data storage system by using the structural similarity method

机译：使用结构相似性方法改善全息数据存储系统中的误码率和页面对齐

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摘要

Although widely recognized as a promising candidate for the next generation of data storage devices, holographic data storage systems (HDSS) incur adverse effects such as noise, misalignment, and aberration. Therefore, based on the structural similarity (SSIM) concept, this work presents a more accurate locating approach than the gray level weighting method (GLWM). Three case studies demonstrate the effectiveness of the proposed approach. Case 1 focuses on achieving a high performance of a Fourier lens in HDSS, Cases 2 and 3 replace the Fourier lens with a normal lens to decrease the quality of the HDSS, and Case 3 demonstrates the feasibility of a defocus system in the worst-case scenario. Moreover, the bit error rate (BER) is evaluated in several average matrices extended from the located position. Experimental results demonstrate that the proposed SSIM method renders a more accurate centering and a lower BER, lower BER of 2 dB than those of the GLWM in Cases 1 and 2, and BER of 1.5 dB in Case 3.
机译：尽管全息数据存储系统（HDSS）被公认为下一代数据存储设备的有前途的候选者，但会产生不利影响，例如噪声，未对准和像差。因此，基于结构相似性（SSIM）概念，这项工作提出了一种比灰度级加权方法（GLWM）更准确的定位方法。三个案例研究证明了该方法的有效性。案例1专注于在HDSS中实现傅立叶透镜的高性能，案例2和3用普通透镜代替傅立叶透镜以降低HDSS的质量，案例3展示了在最坏情况下使用散焦系统的可行性场景。此外，在从定位位置开始的几个平均矩阵中评估了误码率（BER）。实验结果表明，与情况1和2的GLWM相比，所提出的SSIM方法具有更准确的居中和更低的BER，2 dB的BER，以及在案例3中的BER为1.5 dB的BER。

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