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The Performance of Neuro-Fuzzy Detection on Nonlinear Magnetic Recording Channels
Author(s)
Wongsathan, Rati
Date Issued
June 1, 2019
Type
Conference Paper
Abstract
This work proposes the nonlinear detection scheme using an adaptive neuro-fuzzy equalizer (NFE) for the nonlinear perpendicular magnetic recording (PMR) channels. Based on a Volterra model of PMR channels at high normalized recording density, the proposed NFE is derived in order to improve the system performance. The bit error rate (BER) performance of the proposed NFE is compared with that of the existing equalizer, i.e., multilayered perceptron neural network equalizer (MLPNNE) and fuzzy logic equalizer (FLE). At the normalized recording density of 3, the proposed NFE outperforms the others by 1 to 4 dB SNR gains.
Citation
34th International Technical Conference on Circuits Systems Computers and Communications Itc Cscc 2019, 2019