Nonlinear mutlilayer combining techniques for Bayesian equalizers using the radial basis function network as a digital magnetic storage equalizer

被引：0

作者：

Choi, S ^{[1
]}

Hong, D ^{[1
]}

机构：

[1] Yonsei Univ, Seodaemun Gu, Seoul 120749, South Korea

来源：

IEEE TRANSACTIONS ON MAGNETICS | 1999年 / 35卷 / 05期

关键词：

Bayesian equalizer; nonlinear multilayer combiner; nonlinear distortion; radial basis function; partial erasure;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In order to reduce the complexity and enhance the performance of the Bayesian equalizer using the radial basis function (RBF) network, a new equalizer using the RBF network with a nonlinear multilayer combiner (RNEQ) is proposed. The RNEQ is applied to a digital storage system in which the primary element of impairment is nonlinear distortion due to partial erasure. From computer simulation results, the RNEQ with almost 70% reduced structural complexity over the conventional equalizer using RBF network has nearly the same performance in terms of bit-error rate (BER) and mean squared error.

引用

页码：2319 / 2321

页数：3

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