The neural decision feedback equalizer for the nonlinear digital magnetic recording systems

The increase of the capacity of the digital magnetic recording systems inevitably causes severe intersymbol interference (ISI) and nonlinear distortions in the magnetic channel. Thus to achieve large capacity magnetic recording systems it is necessary to compensate these problems. In order to cope with the severe ISI and nonlinear distortions a neural decision feedback equalizer (NDFE) is applied to the digital magnetic recording channel. In the performance comparison between the NDFE and the conventional decision feedback equalizer (DFE) via simulations, it is found that as nonlinear distortions increase the NDFE has a greater SNR (signal to noise ratio) advantage over the DFE