Performance of neural equalizers on partial erasure model

The increase in the capacity of the digital magnetic recording systems inevitably causes severe intersymbol interference (ISI) and nonlinear distortions in the magnetic channel. In this paper, to cope with severe ISI and nonlinear distortions a neural decision feedback equalizer (NDFE) is applied to the digital magnetic recording channel-partial erasure model. In the performance comparison between the NDFE and the conventional decision feedback equalizer (DFE) via simulations, it has been found that as nonlinear distortions increase the NDFE has more SNR (Signal to Noise Ratio) advantage over the conventional DFE.