A UNIFIED SQUARE-ROOT-FREE APPROACH FOR QRD-BASED RECURSIVE LEAST-SQUARES ESTIMATION

被引:35
作者
HSIEH, SF
LIU, KJR
YAO, K
机构
[1] UNIV CALIF LOS ANGELES, DEPT ELECT ENGN, LOS ANGELES, CA 90024 USA
[2] UNIV MARYLAND, DEPT ELECT ENGN, SYST RES CTR, COLL PK, MD 20742 USA
基金
美国国家科学基金会;
关键词
D O I
10.1109/78.205742
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
Givens rotation is the most commonly used method in performing the QR decomposition (QRD) updating. The generic formula for these rotations requires explicit square-root (sqrt) computations which constitute a computational bottleneck and are quite undesirable from the practical VLSI circuit design point of view. So far, there has been more than ten known sqrt-free algorithms. In this correspondence, we provide a unified systematic approach for the sqrt-free Givens rotation. By properly choosing two parameters, mu and nu, all previously known sqrt-free, as well as new methods, are included in our unified approach. This unified treatment is also extended to the QRD-based recursive least squares (RLS) problem for optimum residual acquisition without sqrt operations.
引用
收藏
页码:1405 / 1409
页数:5
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