The constrained conjugate gradient algorithm

被引：27
|
作者：
Apolinario, JA [1 ]
de Campos, MLR
Bernal, CP
机构：
[1] Escuela Politecn Ejercito, Fac Ingn Elect, Sangolqui, Ecuador
[2] Univ Fed Rio de Janeiro, COPPE, Program Engn Eletr, BR-21945970 Rio De Janeiro, Brazil
来源：
IEEE SIGNAL PROCESSING LETTERS | 2000年 / 7卷 / 12期
关键词：
conjugate gradient algorithms; constrained adaptive filtering;
D O I：
10.1109/97.883366
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：
Based on the condition for equivalence between linearly constrained minimum-variance (LCMV) filters and their generalized sidelobe canceler (GSC) implementations, we derive the new constrained conjugate gradient (CCG) algorithm. We discuss the use of orthogonal and nonorthogonal blocking matrices for the GSC structure and how the choice of this matrix may affect the relationship with the LCMV counterpart. The newly derived algorithm was tested in a computer experiment for adaptive multiuser detection and showed excellent results.
引用
收藏
页码：351 / 354
页数：4
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