Title :
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
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 ¿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;
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
DOI :
10.1109/ICCS.2008.4737233