| Issue |
ITM Web Conf.
Volume 52, 2023
International Conference on Connected Object and Artificial Intelligence (COCIA’2023)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 10 | |
| Section | Telecommunications | |
| DOI | https://doi.org/10.1051/itmconf/20235203001 | |
| Published online | 08 May 2023 | |
Direction of arrival estimation in smart Antenna for tracking system
Lab. RITM/ ESTC, CED Engineering Science, ENSEM, University Hassan II of Casablanca, Morocco
* Corresponding author: sara.smihily-etu@etu.univh2c.ma
The aim of this paper is to present a comparison between three of the main algorithms for the estimation of Direction Of Arrival (DOA) used in smart antenna systems to eliminate fading and interreferences, namely Conventional Beamformer, CAPON (Maximum Likelihood Methods ‘Minimum Variance Distorsionless Response’) and Multiple Signal Classification (MUSIC), wich represent three different methods with different calculation techniques. In this work we also simulate several execution scenarios, using MATLAB, to evaluate the factors impacting the precision and the resolution of the DOA estimation in the case of MUSIC algorithm, as it is arguably the most used one, this evaluation is achieved by varying the SNR (signal-to-noise ratio), the spacing between element, the number of array elements and the number of samples (snapshots).
Key words: Smart Antenna / DOA Estimation / MUSIC Algorithm
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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