2-D DOA Estimation in a Cuboid Array Based on Metaheuristic Algorithms and Maximum Likelihood  被引量:1

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

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作  者:Gilberto Lopes Filho Ana Cláudia Barbosa Rezende Lucas Fiorini Cruz Flávio Henrique Teles Vieira Rodrigo Pinto Lemos Gilberto Lopes Filho;Ana Cláudia Barbosa Rezende;Lucas Fiorini Cruz;Flávio Henrique Teles Vieira;Rodrigo Pinto Lemos(Universidade Federal de Goiás (UFG), Goiánia, Brazil)

机构地区:[1]Universidade Federal de Goiás (UFG), Goiánia, Brazil

出  处:《International Journal of Communications, Network and System Sciences》2020年第8期121-137,共17页通讯、网络与系统学国际期刊(英文)

摘  要: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.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.

关 键 词:Metaheuristic Algorithms Genetic Algorithm Firefly Algorithm DOA Estimation Maximum Likelihood 

分 类 号:TN9[电子电信—信息与通信工程]

 

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