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Adaptive array beam forming using a combined RLS-LMS algorithm

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Open access
Authors
Srar, Jalal
Chung, Kah-Seng
Date
2008
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Type
Conference Paper
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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)
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Faculty
School of Electrical Engineering and Computing
Science and Engineering
Department
Department of Electrical and Computer Engineering
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