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2-D DOA Estimation in a Cuboid Array Based on Metaheuristic Algorithms and Maximum Likelihood

¹ Universidade Federal de Goiás (UFG), Goiánia, Brazil
² Universidade Federal de Goiás (UFG), Goiánia, Brazil
³ Universidade Federal de Goiás (UFG), Goiánia, Brazil
⁴ Universidade Federal de Goiás (UFG), Goiánia, Brazil
⁵ Universidade Federal de Goiás (UFG), Goiánia, Brazil

International Journal of Communications, Network and System Sciences·Volume 13 (2020)·Pages 121–137·Published 27 November 2020·DOI10.4236/ijcns.2020.138008

Abstract

This paper proposes to apply the genetic algorithm and the firefly algorithm to enhance the estimation of the direction of arrival (DOA) angle of electromagnetic signals of a smart antenna array. This estimation is essential for beamforming, where the antenna array radiating pattern is steered to provide faster and reliable data transmission with increased coverage. This work proposes using metaheuristics to improve a maximum likelihood DOA estimator for an antenna array arranged in a uniform cuboidal geometry. The DOA estimation performance of the proposed algorithm was compared to that of MUSIC on different two dimensions scenarios. The metaheuristic algorithms present better performance than the well-known MUSIC algorithm.

KeywordsMetaheuristic AlgorithmsGenetic AlgorithmFirefly AlgorithmDOA EstimationMaximum Likelihood

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2-D DOA Estimation in a Cuboid Array Based on Metaheuristic Algorithms and Maximum Likelihood

Abstract

References (21)