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Said Assous
University of Leicester, United Kingdom
Computer Science & IT Electrical & Electronics Engineering

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A Novel Algorithm to Estimate Closely Spaced Source DOA Sidi Mohamed Hadj Irid; Samir Kameche; Said Assous
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 4: August 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (550.821 KB) | DOI: 10.11591/ijece.v7i4.pp2109-2115

Abstract

In order to improve resolution and direction of arrival (DOA) estimation of two closely spaced sources, in context of array processing, a new algorithm is presented. However, the proposed algorithm combines both spatial sampling technic to widen the resolution and a high resolution method which is the Multiple Signal Classification (MUSIC) to estimate the DOA of two closely spaced sources impinging on the far-field of Uniform Linear Array (ULA). Simulations examples are discussed to demonstrate the performance and the effectiveness of the proposed approach (referred as Spatial sampling MUSIC SS-MUSIC) compared to the classical MUSIC method when it’s used alone in this context.
Co-Authors Samir Kameche Sidi Mohamed Hadj Irid