2010Telecommunication EngineeringRequires access

Impact of Mutual Coupling on Direction of Arrival Estimation

LU Cui-hua

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Abstract

Using a uniform linear array(ULA) model,the mechanism that how mutual coupling affects several main DOA(Direction of Arrival) estimation algorithms such as conventional beamforming algorithm,Capon′s MVDR algorithm,MUSIC algorithm,ESPRIT algorithm and Root-MUSIC algorithm is analyzed,and then the simulation is performed using MATLAB.The analysis and simulation results show that the errors due to the mutual coupling enhance the errors of DOA estimation algorithms,reduce the probability of success,and degrade the performance of algorithms seriously.

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What this paper is about

Using a uniform linear array(ULA) model,the mechanism that how mutual coupling affects several main DOA(Direction of Arrival) estimation algorithms such as conventional beamforming algorithm,Capon′s MVDR algorithm,MUSIC algorithm,ESPRIT algorithm and Root-MUSIC algorithm is analyzed,and then the simulation is performed using MATLAB.The analysis and simulation results show that the errors due to the mutual coupling enhance the errors of DOA estimation algorithms,reduce the probability of success,and degrade the performance of algorithms seriously.

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Available abstract

Using a uniform linear array(ULA) model,the mechanism that how mutual coupling affects several main DOA(Direction of Arrival) estimation algorithms such as conventional beamforming algorithm,Capon′s MVDR algorithm,MUSIC algorithm,ESPRIT algorithm and Root-MUSIC algorithm is analyzed,and then the simulation is performed using MATLAB.The analysis and simulation results show that the errors due to the mutual coupling enhance the errors of DOA estimation algorithms,reduce the probability of success,and degrade the performance of algorithms seriously.

Key concepts: Capon, Direction of arrival, Multiple signal classification, Coupling (piping), Algorithm, MATLAB, Computer science, Beamforming

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