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.
Highlights
We proposed a 2D interference estimator
We extracted the interference by the estimator using 2D Viterbi algorithm (VA)
The 2D VA is used to detect the symbols, which are the sum of the product between the signal and the interference
Summary
In signal processing, the equalizer combined with the partial response maximum likelihood (PRML) reduces the 2D ISI significantly [3,12,13,14]. PRML supplies coefficient interference to the soft output Viterbi algorithm (SOVA) to detect the received signal [15]. The original data u[k] are modulated into the 2D signal a[j,k], which is stored in a HDS channel. The received signal y[j,k] from the output of the HDS channel and the 2D signal a[j,k] are collected in the buffers Thereafter, these data are supplied to the minimum mean square error (MMSE) algorithm.
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