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

Abstract

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.

Interference Estimation Using a Recurrent Neural Network Equalizer for Holographic Data Storage Systems

“…Finally, g and f are the vectors of matrices G and F, respectively. The matrix C and constant α are defined in the following equations [16]:…”

“…We used the channel model in [16] to set up the HDS channel. The received signal b[j,k] was obtained from the HDS channel as follows:…”

“…However, in the original scheme, the authors only proposed GPR for 1D data. Therefore, Nguyen and Lee developed GPR suitable for 2D data in [16]. Because 2D interference consists of intertrack interference (ITI), vertical interference (VI), intersymbol interference (ISI), and horizontal interference (HI), there are two main methods for designing GPR for 2D data.…”

“…Because 2D interference consists of intertrack interference (ITI), vertical interference (VI), intersymbol interference (ISI), and horizontal interference (HI), there are two main methods for designing GPR for 2D data. First, we can estimate the 2D GPR and apply 2D detection with high complexity, as described in [16]. Second, ITI or ISI can be removed from the 2D GPR to apply 1D detection, as in [17].…”

“…These estimators were designed according to a parallel structure. In the proposed model, we used the 2D GPR target in [16] to estimate the channel coefficients. The simulation results showed that the proposed model could improve the bit error rate (BER) performance compared to those of the previous studies.…”