Comparison between MUSIC and ESPRIT direction of arrival estimation algorithms for wireless communication systems
Ousmane Abdoulaye Oumar, Ming Fei Siyau, Tariq Sattar
Abstract
Ousmane Abdoulaye Oumar, Ming Fei Siyau, Tariq Sattar
Abstract
This paper presents simulation of Angle of Arrival (AOA) estimation using the Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) algorithms. We study the localization techniques using the wireless communication systems and there are several algorithms that have the ability in calculate the Direction of Arrival (DOA) of the incident signals. We investigate and compare MUSIC and ESPRIT algorithms. The simulations indicate that the MUSIC algorithm is more accurate and stable compared to the ESPRIT algorithm.
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This paper presents simulation of Angle of Arrival (AOA) estimation using the Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) algorithms. We study the localization techniques using the wireless communication systems and there are several algorithms that have the ability in calculate the Direction of Arrival (DOA) of the incident signals. We investigate and compare MUSIC and ESPRIT algorithms. The simulations indicate that the MUSIC algorithm is more accurate and stable compared to the ESPRIT algorithm.
Key concepts: Angle of arrival, Multiple signal classification, Direction of arrival, Algorithm, Rotational invariance, Computer science, Wireless, SIGNAL (programming language)