Performance of RLMS algorithm in adaptive array beam forming

Author

Srar, Jalal Abdulsayed ; Chung, Kah-Seng

Author_Institution

Dept. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, USA

fYear

2008

fDate

19-21 Nov. 2008

Firstpage

493

Lastpage

498

Abstract

This paper examines the performance of an adaptive linear array employing the new RLMS algorithm, which consists of a recursive least square (RLS) section followed by a least mean square (LMS) section. The performance measures used are output and input signal-to-interference plus noise ratios (SINR), side lobe level (SLL), and Â¿SINR₀ as a function of the direction of arrival of the interfering signal. Computer simulation results show that the performance of RLMS is superior to either the RLS or LMS based on these measures, particularly when operating with low input SINR.

Keywords

adaptive signal processing; array signal processing; least mean squares methods; recursive estimation; RLMS algorithm; adaptive array beam forming; least mean square; recursive least square; signal-to-interference plus noise ratios; Adaptive arrays; Adaptive signal processing; Antenna arrays; Array signal processing; Convergence; Least squares approximation; Linear antenna arrays; Resonance light scattering; Signal processing algorithms; Signal to noise ratio; LMS algorithm; RLMS algorithm; RLS algorithm; adaptive antenna array beam forming;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4244-2423-8

Electronic_ISBN

978-1-4244-2424-5

Type

conf

DOI

10.1109/ICCS.2008.4737233

Filename

4737233