Title :
Performance of neural equalizers on partial erasure model
Author :
Choi, Sooyong ; Ong, Sunghwan ; You, Cheolwoo ; Hong, Daesik ; Cho, Jaehee
Author_Institution :
Dept. of Electron. Eng., Yonsei Univ., Seoul, South Korea
fDate :
9/1/1997 12:00:00 AM
Abstract :
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
Keywords :
decision feedback equalisers; digital magnetic recording; electric distortion; intersymbol interference; neural nets; partial response channels; SNR; decision feedback equalizer; digital magnetic recording systems; intersymbol interference; magnetic channel; neural equalizers; nonlinear distortions; partial erasure model; Bit error rate; Decision feedback equalizers; Degradation; Digital magnetic recording; Intersymbol interference; Least squares approximation; Magnetic memory; Multilayer perceptrons; Nonlinear distortion; Pulse shaping methods; Shape; Signal to noise ratio; Space vector pulse width modulation;
Journal_Title :
Magnetics, IEEE Transactions on
