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International Journal of Advanced Engineering, Management and Science


Eigen Subspace based Direction of Arrival Estimation for Coherent Sources

( Vol-2,Issue-5,May 2016 )

Author(s): N. P. Sharvari, Dr. H. V. Kumaraswamy



Total View : 692
Downloads : 9
Page No: 498-501
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Keywords:

Coherent sources, Directional of arrival (DOA), eigen subspace, MUSIC.

Abstract:

Direction of arrival (DOA) estimation technology plays an important role in enhancing the performance of the adaptive arrays for mobile communication. In this paper comparative performance analysis of eigen subspace based DOA estimation for coherent sources is presented. A number of DOA estimation algorithms based on eigen subspace method have been developed. Among these MUSIC algorithm is considered to have exceptionally good results. The focus of this paper is to unveil the performance characteristics of MUSIC algorithm and its improved version for coherent sources. The simulation results show that the improved MUSIC algorithm is the best. Also it can be observed that the resolution of DOA estimation improves as the number of snapshots and signal to noise ratio increases.

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