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

Abstract

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.

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

“…Thus, when the misalignment appears, it cannot estimate the interference appropriately compared to the 2D GPR target. In addition, the proposed model is also compared to the DFE with reliability factor in [23], and the interference estimator with parallel structure in [22]. The interference estimator with parallel structure scheme achieves better BER performance compared to the proposed model because it is designed with the SOVA algorithm, which requires more complexity, instead of the simple VA used in the proposed model.…”

“…2022, 12, x FOR PEER REVIEW 2 of 12 achieves better performance than PRML. Then, the GPR target is developed and utilized in [17][18][19][20][21][22]. However, the authors only estimate 1D interference (i.e., designing a 1D GPR target) to avoid the 2D detection in [16].…”

“…Sci. 2022, 12, 4070 2 of 11 in [17][18][19][20][21][22]. However, the authors only estimate 1D interference (i.e., designing a 1D GPR target) to avoid the 2D detection in [16].…”

“…However, the authors only estimate 1D interference (i.e., designing a 1D GPR target) to avoid the 2D detection in [16]. In [22], to handle 2D interference, the authors introduce the estimator interference with a parallel structure to convert 2D interference into 1D interference. Although achieving high performance, the model in [22] has high complexity.…”

“…In [22], to handle 2D interference, the authors introduce the estimator interference with a parallel structure to convert 2D interference into 1D interference. Although achieving high performance, the model in [22] has high complexity. In [23], the authors propose the decision feedback equalizer (DFE) to recover the original from the received signal, which is distorted by the 2D ISI.…”