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
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
相关论文
共 5 条
[1]   Analysis of conjugate gradient algorithms for adaptive filtering [J].
Chang, PS ;
Willson, AN .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2000, 48 (02) :409-418
[2]   ALGORITHM FOR LINEARLY CONSTRAINED ADAPTIVE ARRAY PROCESSING [J].
FROST, OL .
PROCEEDINGS OF THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 1972, 60 (08) :926-&
[3]  
Griffiths L.J., 1988, P ACSSC PAC GROV CA, V2, P808
[4]   AN ALTERNATIVE APPROACH TO LINEARLY CONSTRAINED ADAPTIVE BEAMFORMING [J].
GRIFFITHS, LJ ;
JIM, CW .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1982, 30 (01) :27-34
[5]  
Haykin S., 1991, ADAPTIVE FILTER THEO