View Item 

Adaptive array beam forming using a combined RLS-LMS algorithm

Access Status
Open access
Authors
Date
2008
Type
Conference Paper

Metadata
Show full item record
Abstract

A new adaptive algorithm, called RLMS, which combines the use of recursive least square (RLS) and least mean square (LMS), is proposed for array beam forming. The convergence of the RLMS algorithm is analyzed, in terms of mean square error, in the presence of additive white Gaussian noise. Computer simulation results show that the convergence performance of RLMS is superior to either RLS or LMS operating on its own. Furthermore, the convergence of RLMS is quite insensitive to changes in either signal-to-noise ratio, or the initial value of the input correlation matrix for the RLS section, or the step size adopted for the LMS section.

Citation
Srar, Jalal and Chung, Kah-Seng. 2008. Adaptive array beam forming using a combined RLS-LMS algorithm, in APCC 2008 Technical Program Committee. (ed), The 14th Asia-Pacific Conference on Communications (APCC 2008), Oct 14 2008. Tokyo, Japan: Institute of Electrical and Electronics Engineers (IEEE).
Source Title
Proceedings of The 14th Asia-Pacific Conference on Communications (APCC 2008)
Additional URLs
ISBN
Faculty
School of Electrical Engineering and Computing
Science and Engineering
School
Department of Electrical and Computer Engineering
Remarks

Copyright © 2008 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI
Collection