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An Efficient Direction of Arrival Estimation for Smart Antenna

Author : Y.D.Kulkarni and P.M.Soni

Pages : 2199-2202
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This paper presents a simulation study of a smart antenna (SA) system based on direction-of-arrival (DOA) estimation is based on the MUltiple SIgnal Classification (MUSIC) algorithm for finding the Position Location (PL) of the desired user. The beamformer steer the main beam towards the desired user and nullify all other interferer, through adaptive beamforming using Least Mean Square (LMS) algorithm. This simulation results revealed the sharper peaks in the MUSIC angular spectrum. Eigen decomposing fined the PL of the desired user using MUSIC algorithm .Smart antennas are antenna arrays with smart signal processing algorithms used to identify spatial signal signature such as the direction of arrival (DOA) of the signal, and use it to calculate beam forming vectors, to track and locate the antenna beam on the mobile/target. The antenna could optionally be any sensor. Smart antenna techniques are used notably in acoustic signal processing, track and scan RADAR, radio astronomy and radio telescopes, and mostly in cellular systems like W-CDMA and UMTS. Smart antennas have two main functions: DOA estimation and Beamforming. The smart antenna system estimates the direction of arrival of the signal, using techniques such as MUSIC (Multiple Signal Classification), estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithms, Matrix Pencil method or one of their derivatives. They involve finding a spatial spectrum of the antenna/sensor array, and calculating the DOA from the peaks of this spectrum.

Keywords: Smart Antenna (SA), Direction-of-Arrival (DOA) Estimation, Multiple Single Classification (MUSIC), Least Mean Square (LMS) estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm.

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.3 (June- 2014)



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