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2015•Walailak Journal of Science and Technology (WJST)Open access

Direction of Arrival Estimation using MUSIC, ESPRIT and Maximum-Likelihood Algorithms for Antenna Arrays

Mohammed Amine Ihedrane, Seddik Bri

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Abstract

The main objective of this article is to compare the performance of 3 famous Eigen structure algorithms, known as the Multiple Signal Classification (MUSIC), the Estimation of Signal Parameter via Rotational Invariance Techniques (ESPRIT), and non-subspace method Maximum-Likelihood Estimation (MLE) for Direction of Arrival (DOA).The performance of this DOA estimation algorithm is based on Uniform Linear Array (ULA). A number of simulation results were carried out using MATLAB and were compared with experimental ones. The comparison shows that the MUSIC algorithm is more accurate and stable compared to the ESPRIT and MLE algorithms.

About this research paper

What this paper is about

The main objective of this article is to compare the performance of 3 famous Eigen structure algorithms, known as the Multiple Signal Classification (MUSIC), the Estimation of Signal Parameter via Rotational Invariance Techniques (ESPRIT), and non-subspace method Maximum-Likelihood Estimation (MLE) for Direction of Arrival (DOA).The performance of this DOA estimation algorithm is based on Uniform Linear Array (ULA). A number of simulation results were carried out using MATLAB and were compared with experimental ones. The comparison shows that the MUSIC algorithm is more accurate and stable compared to the ESPRIT and MLE algorithms.

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Available abstract

The main objective of this article is to compare the performance of 3 famous Eigen structure algorithms, known as the Multiple Signal Classification (MUSIC), the Estimation of Signal Parameter via Rotational Invariance Techniques (ESPRIT), and non-subspace method Maximum-Likelihood Estimation (MLE) for Direction of Arrival (DOA).The performance of this DOA estimation algorithm is based on Uniform Linear Array (ULA). A number of simulation results were carried out using MATLAB and were compared with experimental ones. The comparison shows that the MUSIC algorithm is more accurate and stable compared to the ESPRIT and MLE algorithms.

Key concepts: Direction of arrival, Multiple signal classification, Rotational invariance, Algorithm, Maximum likelihood, Signal subspace, Direction finding, Subspace topology

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