DOA Estimation Algorithm for Smart Antennas-An Investigation
Nishan Patnaik
Nishan Patnaik, Electronics and Telecommunication Department, Fr. C. R. I. T., Vashi, Navi Mumbai, India.
Manuscript received on March 31, 2015. | Revised Manuscript received on April 05, 2015. | Manuscript published on April 15, 2015. | PP: 43-47 | Volume-3 Issue-5, April 2015. | Retrieval Number: E0845043515/2015©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: High resolution direction-of-arrival (DOA) estimation is important in many applications and over the years many techniques have been proposed. The signal subspace method (MUSIC) [1] has been the most popular and is known to yield asymptotically unbiased and efficient estimates. The MUSIC algorithm estimates the signal subspace from the array measurements and then estimates the parameters of interest from the intersections between the array manifold and the estimated signal. In this work DOA estimation based on MUSIC algorithm and improved MUSIC algorithm is investigated. The classical MUSIC algorithm is analyzed and results of simulations using Matlab are presented. Results for the DOA estimation of the noncoherent signals and coherent signals are found.
Keywords: MUSIC, Beamforming, direction-of-arrival (DOA), eigen-decomposition.