A smart antenna system for direction of arrival estimation based on a support vector regression

2005 ◽  
Vol 53 (7) ◽  
pp. 2161-2168 ◽  
Author(s):  
M. Pastorino ◽  
A. Randazzo
Keyword(s):  
Support Vector Regression ◽  
Smart Antenna ◽  
Direction Of Arrival ◽  
Antenna System ◽  
Support Vector ◽  
Direction Of Arrival Estimation ◽  
Smart Antenna System

scholarly journals Performance analysis of direction of arrival algorithms for Smart Antenna

2019 ◽  
Vol 9 (6) ◽  
pp. 4873
Author(s):  
Btissam Boustani ◽  
Abdennaceur Baghdad ◽  
Aicha Sahel ◽  
Abdelmajid Badri
Keyword(s):  
Performance Analysis ◽  
Smart Antenna ◽  
Direction Of Arrival ◽  
Minimum Variance ◽  
Antenna System ◽  
Estimation Algorithms ◽  
Minimum Variance Distortionless Response ◽  
Subspace Fitting ◽  
Arrival Angles ◽  
Smart Antenna System

<p>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.</p>

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