BLIND ADAPTATION OF DECISION-FEEDBACK EQUALIZERS - GROSS CONVERGENCE PROPERTIES

被引：12

作者：

KENNEDY, RA

ANDERSON, BDO

BITMEAD, RR

机构：

[1] AUSTRALIAN NATL UNIV, FAC ENGN, DEPT ENGN, CANBERRA, ACT 0200, AUSTRALIA

[2] AUSTRALIAN NATL UNIV, RES SCH PHYS SCI & ENGN, DEPT SYST ENGN, CANBERRA, ACT 0200, AUSTRALIA

来源：

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | 1993年 / 7卷 / 06期

关键词：

BLIND ADAPTIVE EQUALIZATION; BLIND DECISION FEEDBACK EQUALIZATION;

D O I：

10.1002/acs.4480070603

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An analysis of the stochastic dynamics of the blind adaptation of decision feedback equalizers is presented. The analysis accounts for the presence of decision errors which, under feedback, are propagated. A number of blind algorithms are presented and a theory is developed to ''plain gross convergence properties observed through simulations. The possibility of and mechanism behind undesirable local minima are highlighted and a detailed case study is given. The potential capture by local minima shows the importance of good initialization. These results superficially resemble those obtained for blind adaptation applied to linear equalizers.

引用

页码：497 / 523

页数：27