Phase-distribution-aware adaptive decision scheme to improve the reliability of holographic data storage

Abstract

Owing to their high storage density and long storage life, holographic data storage (HDS) technologies are viable options for mass cold data storage in the era of big data. Phase-modulated holographic data storage (PHDS) is a promising implementation of HDS. However, because of complex noise in the storage channel, many errors remain after phase demodulation. This study investigates the phase decision in the data-reading stage of PHDS. We propose a phase-distribution-aware adaptive (PDAA) decision scheme to address the inaccurate thresholds in traditional phase decision schemes. The PDAA decision scheme can determine more accurate decision thresholds based on the phase distribution characteristics of each reconstructed phase data page and adaptively match different decision thresholds to each phase data page. The experimental results show that when compared to the traditional decision scheme, the PDAA decision scheme can significantly reduce the phase error of data pages, improving the data reliability of holographic storage.