Reduced-complexity equaliser for nonlinear channels

被引：6

作者：

Gonzalez-Serrano, FJ

Perez-Cruz, F

Artes-Rodriguez, A

机构：

[1] Univ Vigo, DTC, ETSI Telecomunicac, Vigo 35200, Spain

[2] UPM, DSSR, ETSI Telecomunicac, Madrid 28040, Spain

来源：

ELECTRONICS LETTERS | 1998年 / 34卷 / 09期

关键词：

D O I：

10.1049/el:19980618

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：

The generalised cerebellar model arithmetic computer (GCMAC) network is applied to the problem of adaptive equalisation of nonlinear channels. The GCMAC-based equaliser is compared with other well-known structures such as the Volterra filter and the multi-layer perceptron. The results obtained show the effectiveness of the proposed structure for compensating strong nonlinearities.

引用

页码：856 / 858

页数：3