Quadratic sigmoid neural decision feedback equalizer for nonlinear digital magnetic recording channels

Sooyong Choi, Sunghwan Ong, Cheolwoo You, Daesik Hong

Research output: Contribution to conferencePaper

Abstract

A new neural equalizer is proposed in order to compensate for intersymbol interference (ISI) and to mitigate nonlinear distortions in digital magnetic recording systems and to strengthen the BER performance of conventional neural decision feedback equalizer (NDFE). The proposed quadratic sigmoid neural decision feedback equalizer (QSNDFE) uses a quadratic sigmoid function as the activation function of the neural networks. We present some computer simulation results of the bit error rate (BER) performance in nonlinear digital magnetic recording channels - the nonlinear Lorentzian channel model and the partial erasure model. The BER performance of QSNDFE is compared to that of conventional decision feedback equalizer (DFE) and conventional NDFE. And the characteristics of MSE (mean square error) of each equalizer is analyzed. It is shown that the QSNDFE outperforms both DFE and NDFE.

Original languageEnglish
Pages1735-1740
Number of pages6
Publication statusPublished - 1998 Dec 1
EventProceedings of the IEEE GLOBECOM 1998 - The Bridge to the Global Integration - Sydney, NSW, Aust
Duration: 1998 Nov 81998 Nov 12

Other

OtherProceedings of the IEEE GLOBECOM 1998 - The Bridge to the Global Integration
CitySydney, NSW, Aust
Period98/11/898/11/12

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Global and Planetary Change

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    Choi, S., Ong, S., You, C., & Hong, D. (1998). Quadratic sigmoid neural decision feedback equalizer for nonlinear digital magnetic recording channels. 1735-1740. Paper presented at Proceedings of the IEEE GLOBECOM 1998 - The Bridge to the Global Integration, Sydney, NSW, Aust, .