THE USE OF NEURAL NETS TO COMBINE EQUALIZATION WITH DECODING FOR SEVERE INTERSYMBOL INTERFERENCE CHANNELS

被引：16

作者：

ALMASHOUQ, KA ^{[1
]}

REED, IS ^{[1
]}

机构：

[1] UNIV SO CALIF,DEPT ELECT ENGN,LOS ANGELES,CA 90089

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS | 1994年 / 5卷 / 06期

关键词：

D O I：

10.1109/72.329696

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper deals with the problem of combining equalization with decoding in channels which have severe intersymbol interference. A multilayer neural net structure is proposed to achieve the process of equalization and decoding simultaneously. Experimental examples show that this method results in a substantial improvement over the more conventional methods of performing equalization and decoding.

引用

页码：982 / 988

页数：7

共 11 条

[1]

ALMASHOUQ KA, 1991, NEURAL COMPUTATION, V3

[2]

Benedetto S., 1987, DIGITAL TRANSMISSION

[3]

BERGMANS JWM, 1987, PHILIPS J RES, V42, P399

[4] DECODING OF TRELLIS-ENCODED SIGNALS IN THE PRESENCE OF INTERSYMBOL INTERFERENCE AND NOISE [J].