Noise modeling and recording condition optimization for practical holographic drive

Takeru Utsugi; Kazuhiko Ono; Yukinobu Tada

doi:10.1117/12.2288693

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19 February 2018 Noise modeling and recording condition optimization for practical holographic drive

Takeru Utsugi, Kazuhiko Ono, Yukinobu Tada

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Proceedings Volume 10557, Ultra-High-Definition Imaging Systems; 1055705 (2018) https://doi.org/10.1117/12.2288693
Event: SPIE OPTO, 2018, San Francisco, California, United States

Abstract

We report on recording technology of practical holographic drive (HD). We aimed for practical holographic data storage system for archival or ultra-high-definition data storage purpose. We are developing angular-multiplexing holographic drive (AM-HD) using photopolymer as the recording medium. There is a trade-off relationship between improvement of recording density and reproduction signal quality in HD. In this research, we modeled this relationship with signal to noise ratio (SNR) and developed a recording condition optimization technique that can maximize the potential of the recording medium. First, we classified the noise factors of the system into four main components: “optical system noise”, “intrinsic scattering noise”, “crosstalk noise” and “medium damage noise”. And we constructed a model of SNR. Using this model, we have established a method to optimize the recording conditions such as “multiple recording number”, “recording energy” and “signal/reference power ratio” to maximize the potential of the recording medium. In addition, we performed recording and playback experiments using the prototype of the holographic drive under development and demonstrated the usefulness of the developed method. We are convinced that we have achieved a major step towards realizing a practical holographic data storage system.

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Takeru Utsugi, Kazuhiko Ono, and Yukinobu Tada "Noise modeling and recording condition optimization for practical holographic drive", Proc. SPIE 10557, Ultra-High-Definition Imaging Systems, 1055705 (19 February 2018); https://doi.org/10.1117/12.2288693

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