Title :
Improved adaptive beamforming using the least mean mixed-norm algorithm
Author :
Shubair, R.M. ; Jimaa, S.A.
Author_Institution :
Commun. Eng. Dept. Etisalat, Univ. Coll., Sharjah
Abstract :
This paper examines the use of a non-quadratic adaptive algorithm known as the Least Mean Mixed-Norm (LMMN) for the design of adaptive beamformers in smart antenna systems. It is shown that the proposed LMMN algorithm reduces the mean square error (MSE) indicating that it has a faster convergence rate when compared to the standard LMS algorithm. The improved performance of the proposed LMMN algorithm is also verified from the output beam pattern which shows deeper nulls towards interferring signals.
Keywords :
adaptive antenna arrays; array signal processing; least mean squares methods; least mean mixed-norm algorithm; mean square error method; nonquadratic adaptive beamforming; smart antenna system; Adaptive arrays; Array signal processing; Covariance matrix; Least squares approximation; Mean square error methods; Mobile antennas; Multiaccess communication; Radiofrequency identification; Satellite broadcasting; Sensor arrays;
Conference_Titel :
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-0778-1
Electronic_ISBN :
978-1-4244-1779-8
DOI :
10.1109/ISSPA.2007.4555460
