TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparative and analysis of evaluation of several direction of arrival estimation methods
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparative and analysis of evaluation of several direction of arrival estimation methods
Comparative and analysis of evaluation of several direction of arrival estimation methods
Subject
ESPRIT
Intelligent arrays
Multi-users
MUSIC
Signal process
Intelligent arrays
Multi-users
MUSIC
Signal process
Description
Modern-day, global, and clever array systems have several distinguished
approaches with regard to a wireless device. In this paper, a comparative
analysis has been carried out amongst nine direction of arrival (DOA)
algorithms: Capon, multiple signal classification (MUSIC), Bartlett,
Pisarenko, linear prediction, maximum entropies, and min-norm, root-
MUSIC, and estimation of signal parameters via rotational invariance
technique (ESPRIT). in this paper reduces the number of antennas and snaps
necessary to observe six target swithout interference for several DOA
estimation methods. After comparing and analyzing all the algorithms, it has
been shown that the music algorithm is the best algorithm that reduces
interference and detects the desired sources. MATLAB R2019b was used in
the simulation process.
approaches with regard to a wireless device. In this paper, a comparative
analysis has been carried out amongst nine direction of arrival (DOA)
algorithms: Capon, multiple signal classification (MUSIC), Bartlett,
Pisarenko, linear prediction, maximum entropies, and min-norm, root-
MUSIC, and estimation of signal parameters via rotational invariance
technique (ESPRIT). in this paper reduces the number of antennas and snaps
necessary to observe six target swithout interference for several DOA
estimation methods. After comparing and analyzing all the algorithms, it has
been shown that the music algorithm is the best algorithm that reduces
interference and detects the desired sources. MATLAB R2019b was used in
the simulation process.
Creator
Aya Ahkam Kamil, Marwa M. Ismail, Bashar S. Bashar
Source
http://journal.uad.ac.id/index.php/TELKOMNIKA
Date
Aug 2, 2021
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Aya Ahkam Kamil, Marwa M. Ismail, Bashar S. Bashar, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparative and analysis of evaluation of several direction of arrival estimation methods,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/4192.
Comparative and analysis of evaluation of several direction of arrival estimation methods,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/4192.