A Novel Algorithm to Estimate Closely Spaced Source DOA

Sidi Mohamed Hadj Irid (University of Tlemcen, Tlemcen University, Algeria)
Samir Kameche (University of Tlemcen, Tlemcen University, Algeria)
Said Assous (University of Leicester, United Kingdom)

International Journal of Electrical and Computer Engineering
Vol 7, No 4: August 2017

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.