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

Authors

  • Mohammed Amine IHEDRANE Materials and Instrumentations, Department of Electrical Engineering, High School of Technology, Moulay Ismail University, Meknes
  • Seddik BRI Spectrometry Laboratory of Materials and Archaeomaterials, Faculty of Science, Moulay Ismail University, Meknes

Keywords:

ULA, MUSIC, ESPRIT, MLE, DOA

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.

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Author Biographies

Mohammed Amine IHEDRANE, Materials and Instrumentations, Department of Electrical Engineering, High School of Technology, Moulay Ismail University, Meknes

Electrical Engineering Department, High School of Technology, ESTM, Moulay Ismail University,

Seddik BRI, Spectrometry Laboratory of Materials and Archaeomaterials, Faculty of Science, Moulay Ismail University, Meknes

Electrical Engineering Department, High School of Technology, ESTM, Moulay Ismail University,

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Published

2015-11-26

How to Cite

IHEDRANE, M. A., & BRI, S. (2015). Direction of Arrival Estimation using MUSIC, ESPRIT and Maximum-Likelihood Algorithms for Antenna Arrays. Walailak Journal of Science and Technology (WJST), 13(6), 491–502. Retrieved from https://wjst.wu.ac.th/index.php/wjst/article/view/1850

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Section

Research Article