期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2011
卷号：4
期号：2
出版社：SERSC
摘要：The Recursive Least Squares (RLS) algorithm is renowned for its rapid convergence but insome scenarios it fails to show swiftness required by several applications. Such failure may resultdue to different limiting conditions. Gain vector plays an essential role in the performance ofRLS algorithm. This paper proposes a modification in Gain vector that results in RLS algorithmperforming much better in perspective of convergence, without adding significant complexity.Simulation results are presented which prove the authenticity of the finding, and comparison withconventional RLS algorithm is presented
关键词：Gain Vector; Adaptive Array Signal Processing; Convergence Rate
