A new adaptive functional-link neural-network-based DFE for overcoming co-channel interference

被引：38

作者：

Hussain, A ^{[1
]}

Soraghan, JJ ^{[1
]}

Durrani, TS ^{[1
]}

机构：

[1] UNIV STRATHCLYDE,DEPT ELECT & ELECT ENGN,DIV SIGNAL PROC,GLASGOW G1 1XW,LANARK,SCOTLAND

来源：

IEEE TRANSACTIONS ON COMMUNICATIONS | 1997年 / 45卷 / 11期

关键词：

co-channel interference suppression; decision feedback equalizers; neural networks;

D O I：

10.1109/26.649741

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：

A new approach for the decision feedback equalizer (DFE) based on the functional-link neural network is described, The structure is applied to the problem of adaptive equalization in the presence of intersymbol interference (ISI), additive white Gaussian noise, and co-channel interference (CGI), It is shown through simulation results for a severe amplitude distorted cochannel system that the decision feedback functional-link equalizer (DFFLE) provides significantly superior bit-error rate (BER) performance characteristics compared to the conventional DFE, the linear transversal equalizer (LTE), the nonlinear radial basis function (RBF) neural-network-based structures and the feedforward functional-link equalizer (FFLE)-based structures, The DFFLE is also shown to have a significantly Simpler computational requirement relative to the RBF and the FFLE.

引用

页码：1358 / 1362

页数：5

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