naa a22 4500 510796176 CHVBK 20180411083337.0 cr unu---uuuuu 180411e20130201xx s 000 0 eng 10.1007/s11277-012-0533-6 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0533-6 A Robust Least Mean Square Algorithm for Adaptive Array Signal Processing [Elektronische Daten] [Rana Ali, Shahid Khan, Anum Ali, Anis-ur-Rehman,, Shahzad Malik] Least Mean Square (LMS) has been the most popular scheme in the realization of adaptive beamforming algorithms. In this paper a Robust Least Mean Square (R-LMS) algorithm is proposed which uses ratio parameters to control the contribution of product vectors in the weight upgrading process. The idea behind the proposed scheme is inclusion of previous information in place of relying solely on current sample. The performance enhancement by R-LMS algorithm is achieved with insignificant increase in computational complexity of LMS algorithm, so the crux of the conventional technique is not lost. Simulation results are also presented which illustrate that R-LMS provides relatively fast convergence, less Brownian motion and improved stability. Springer Science+Business Media, LLC., 2012 Adaptive array signal processing nationallicence R-LMS algorithm nationallicence Robust beamformer nationallicence LMS Algorithm nationallicence Ali Rana COMSATS Institute of Information Technology, Park Road, Chak Shahzad, Islamabad, Pakistan aut Khan Shahid COMSATS Institute of Information Technology, Park Road, Chak Shahzad, Islamabad, Pakistan aut Ali Anum COMSATS Institute of Information Technology, Park Road, Chak Shahzad, Islamabad, Pakistan aut Anis-ur-Rehman, COMSATS Institute of Information Technology, Park Road, Chak Shahzad, Islamabad, Pakistan aut Malik Shahzad COMSATS Institute of Information Technology, Park Road, Chak Shahzad, Islamabad, Pakistan aut Wireless Personal Communications Springer US; http://www.springer-ny.com 68/4(2013-02-01), 1449-1461 0929-6212 68:4<1449 2013 68 11277 https://doi.org/10.1007/s11277-012-0533-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0533-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ali Rana COMSATS Institute of Information Technology, Park Road, Chak Shahzad, Islamabad, Pakistan aut NATIONALLICENCE 700 1- Khan Shahid COMSATS Institute of Information Technology, Park Road, Chak Shahzad, Islamabad, Pakistan aut NATIONALLICENCE 700 1- Ali Anum COMSATS Institute of Information Technology, Park Road, Chak Shahzad, Islamabad, Pakistan aut NATIONALLICENCE 700 1- Anis-ur-Rehman COMSATS Institute of Information Technology, Park Road, Chak Shahzad, Islamabad, Pakistan aut NATIONALLICENCE 700 1- Malik Shahzad COMSATS Institute of Information Technology, Park Road, Chak Shahzad, Islamabad, Pakistan aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 68/4(2013-02-01), 1449-1461 0929-6212 68:4<1449 2013 68 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer