Performance of RLMS algorithm in adaptive array beam forming

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)...

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Bibliographic Details
Main Authors: Srar, Jalal, Chung, Kah-Seng
Other Authors: ICCS 2008 Technical Program Committee
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers (IEEE) 2008
Online Access:http://hdl.handle.net/20.500.11937/12403
Description
Summary: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 SINRo 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.