Volume-recorded hologram modeling, point-spread function analysis, and segmented adaptive equalization for holographic data storage

Abstract

The rapid growth in digital information throughout the world has demanded storage with a high capacity and high transfer rate. Holographic data storage (HDS) is one promising candidate for next-generation data storage because of its high potential in capacity and transfer rate. However, high-volume HDS usually suffers from inter-signal interference (ISI). Here, we first develop volume recording and reproduction models for HDS. We reveal through optical simulations based on the developed models that ISI differs not only between pages but also between areas on the same page. Then, we develop an advanced equalization technique called segmented adaptive equalization (SAE) that takes into account inter-area ISI difference. We can improve signal quality much more than conventional equalization techniques by using SAE. We are confident that SAE can enhance the realization of HDS.