A fast least-squares algorithm for linearly constrained adaptive filtering

被引：81
|
作者：
Resende, LS [1 ]
Romano, JMT [1 ]
Bellanger, MG [1 ]
机构：
[1] CONSERVATOIRE NATL ARTS & METIERS,LAB ELECT & COMMUN,PARIS,FRANCE
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1996年 / 44卷 / 05期
关键词：
D O I：
10.1109/78.502329
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：
An extension of the field of fast least-squares techniques is presented. It is shown that the adaptation gain, which is updated with a number of operations proportional to the number of transversal filter coefficients, can be used to update the coefficients of a linearly constrained adaptive filter. An algorithm that is robust to round-off errors is derived. It is general and flexible. It can handle multiple constraints and multichannel signals. Its performance is illustrated by simulations and compared with the classical LMS-based Frost algorithm.
引用
收藏
页码：1168 / 1174
页数：7
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