Decision feedback equalizer for holographic data storage

Simplified Two-Dimensional Generalized Partial Response Target of Holographic Data Storage Channel

With a high capacity and fast data access rate, holographic data storage (HDS) is a potential candidate for future storage systems. However, for page-oriented data processing, two-dimensional (2D) interference appears intensely in the HDS systems. Therefore, the new 2D generalized partial response (GPR) target is introduced to estimate the 2D interference. In addition, we also propose a method to analyze the 2D GPR target into two serial one-dimensional (1D) GPR targets. It makes us design a simple detection scheme composed of two serial 1D detectors instead of a complicated 2D detector. In simulations, the results show that our proposed scheme can improve the BER performance compared to the conventional 1D GPR target model.

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

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.

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

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.