Performance comparison of equalization/detection schemes for magnification error-dominated volume holographic storage channel

Data pages retrieved from a volume holographic storage channel (VHSC) suffer from inter-symbol interference (ISI) and noise. Assuming ISI does not change spatially (i.e., stationary), 2-D equalization/detection schemes has been previously developed for quadratic channels like VHSC. In practice, however, the point spread function of a VHSC changes spatially due to magnification and misalignment errors. In this paper, we develop a channel model for magnification error (ME) dominated VHSC and also evaluate the effect of ME on the equalization/detection performance. Results indicate that the recently introduced iterative magnitude-squared decision feedback equalization (IMSDFE) method is more robust to magnification error compared to linear minimum mean squared-error (LMMSE) equalization and adaptive threshold detection (ATD).