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

• 作者: Ana Cláudia Barbosa Rezende Flávio Henrique Teles Vieira Gilberto Lopes Filho Lucas Fiorini Cruz Rodrigo Pinto Lemos
• 来源期刊: 通讯、网络与系统学国际期刊(英文)
• 学科: 工学
• 关键词: Metaheuristic Algorithms Genetic Algorithm Firefly Algorithm DOA Estimation Maximum Likelihood
• 年，卷（期）: 2020,（8）
• 页码范围: 121-137
• 页数: 17页
• 分类号: TN9

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.