Comparison of MUSIC and ESPRIT DOA Estimation algorithms for Wireless Communications
OUATTARA Oumar, Ming Fei Siyau, Tariq Sattar
Abstract
Open-access reader
OUATTARA Oumar, Ming Fei Siyau, Tariq Sattar
Abstract
Open-access reader
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: Multiple signal classification, Algorithm, Angle of arrival, Direction of arrival, Rotational invariance, Wireless, Computer science, SIGNAL (programming language)