Error Rate Performance of PRML System Using Neural Network Canceller

Abstract

An application of the neural network canceller to the PR4ML channel with partial erasure is studied. First, a model of the read/write channel with partial erasure and a neural network canceller are described. Then, the bit-error rate of the PR4ML channel is evaluated by computer simulation and the performance is compared with that of the conventional neural network equalizer and Nyquist equalizer. The results show that the neural network canceller exhibits better performance than the conventional neural network equalizer and Nyquist equalizer.