DocumentCode :
3260520
Title :
Adaptive RLMS algorithm for antenna array beamforming
Author :
Srar, Jalal Abdulsayed ; Chung, Kah-Seng
Author_Institution :
Dept. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, Australia
fYear :
2009
fDate :
23-26 Jan. 2009
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a flexible method of achieving either fixed or self-adaptive antenna beamforming. It involves the use of an array image factor ¿d, which interfaces an RLS and LMS sections in cascade to form the RLMS beamforming algorithm. It is shown that an accurate fixed beam can be obtained by prior setting the elements of ¿d with prescribed values for the required direction. Moreover, the beam direction can also be made adaptive to automatically track the target signal. In this case, a convenient and effective method is described for computing the element values of ¿d based on the estimated RLS output signal and tap weights. Analytical and computer simulation results verify these two modes of operation of the RLMS beamforming algorithm. Furthermore, the convergence of RLMS is shown to be quite insensitive to variations in SNR of the input signal as well as the step sizes associated with the RLS and LMS sections.
Keywords :
antenna arrays; array signal processing; least mean squares methods; adaptive RLMS algorithm; antenna array beamforming; self-adaptive antenna beamforming; target signal; Adaptive arrays; Algorithm design and analysis; Antenna arrays; Array signal processing; Cities and towns; Computer simulation; Convergence; Least squares approximation; Resonance light scattering; Target tracking; Adaptive beamforming; LMS; RLMS algorithms; RLS; smart antenna;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2009 - 2009 IEEE Region 10 Conference
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-4546-2
Electronic_ISBN :
978-1-4244-4547-9
Type :
conf
DOI :
10.1109/TENCON.2009.5396256
Filename :
5396256
Link To Document :
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