NDLI: Performance analysis of least mean square sample matrix inversion algorithm for smart antenna system

Content Provider	IEEE Xplore Digital Library
Author	Ali, W.A.E. Mohamed, D.A.E. Hassan, A.H.G.
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. & Commun. Eng., Arab Acad. for Sci. & Technol. (AAST), Alexandria, Egypt (Ali, W.A.E.; Mohamed, D.A.E.; Hassan, A.H.G.)
Abstract	Beamforming is a signal processing technique that has the ability to direct the main beam toward signal-of-interest and the null toward signal-of-not-interest without moving antenna array. This technique is achieved by using algorithms which change the amplitude and phase of array pattern continuously. This paper presents hybrid algorithm that is a combination of two algorithms, least mean square algorithm and sample matrix inversion algorithm. The hybrid algorithm (least mean square/sample matrix inversion) is applied on an array of dipoles to overcome the shortcomings of existing algorithms for a robust smart antenna system. To focus the main beam toward the desired direction and place the null in the direction of the interference signals, the weights of the inversion matrix in sample matrix inversion are calculated and these weights will be the initial weights in least mean square algorithm. The merit of this approach solves the convergence speed problem of the least mean square algorithm as well as the computation intensive exists in sample matrix inversion algorithm and decreases the least mean square error. The simulation results indicate the analyses of least mean square, sample matrix inversion and hybrid algorithm performances .These techniques are compared and verified using MATLAB.
Starting Page	624
Ending Page	629
File Size	392419
Page Count	6
File Format	PDF
ISBN	9781479900916
DOI	10.1109/LAPC.2013.6711976
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-11
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	sample matrix inversion algorithm Beamforming Least squares approximations Dipole antennas Signal processing algorithms Mean square error methods Least mean square algorithms smart antenna Arrays least mean square algorithm Antenna arrays
Content Type	Text
Resource Type	Article

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