Efficient modeling and iterative magnitude-squared decision feedback equalization (DFE) for volume holographic storage channels
Data pages retrieved from a volume holographic data storage channel (VHSC) suffer mainly from intersymbol interference (ISI) and noise. ISI can be combatted using equalizers that are designed based on careful modeling of the VHSC. In this paper, we present a simple and accurate ISI model for the VHSC and utilize this efficient model to suggest a new iterative magnitude-squared decision feedback equalization (IMSDFE) method. Numerical simulations show that the outputs from the proposed model agree well with expected results and that the IMSDFE is a promising equalization/detection scheme to reduce the bit error rate (BER) of VHSC.