Open AccessPerformance analysis of direction of arrival algorithms for Smart Antenna
Author(s) -
Btissam Boustani,
Abdennaceur Baghdad,
Aïcha Sahel,
Abdelmajid Badri
Publication year - 2019
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v9i6.pp4873-4881
Subject(s) - direction of arrival , algorithm , smart antenna , computer science , angle of arrival , context (archaeology) , subspace topology , antenna (radio) , rotational invariance , capon , signal subspace , signal (programming language) , antenna array , wireless , telecommunications , directional antenna , beamforming , artificial intelligence , noise (video) , paleontology , image (mathematics) , biology , programming language
This paper presents the performance analysis of the direction of arrival estimation algorithms such as Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Multiple Signal Classification (MUSIC), Weighted Subspace Fitting (WSF), The Minimum Variance Distortionless Response (MVDR or capon) and beamspace. These algorithms are necessary to overcome the problem of detecting the arrival angles of the received signals in wireless communication. Therefore, these algorithms are evaluated and compared according to several constraints required in smart antenna system parameters, as the number of array elements, number of samples (snapshots), and number of the received signals. The main purpose of this study is to obtain the best estimation of the direction of arrival, which can be perfectly implemented in a smart antenna system. In this context, the ROOT-Weighted Subspace Fitting algorithm provides the most accurate detection of arrival angles in each of the proposed scenarios.