Title :
Mean angle of arrival and Angular Spread estimation: Maximum Likelihood vs two low-complexity approaches
Author :
Ben Rejeb, Nessrine ; Bousnina, Ines ; Bassem Ben Salah, M. ; Samet, Ahmed
Author_Institution :
Tunisia Polytech. Sch., Univ. of 7th November of Carthage, La Marsa, Tunisia
Abstract :
In this paper, three different nominal Angle of Arrival (AoA) and Angular Spread (AS) estimators are compared. A single source transmitter through a Rayleigh channel scenario is considered. First, the Maximum Likelihood (ML) estimator is studied. Then, low-complexity estimators which are the Spread Root-MUSIC and the two-stage approach, are presented. Simulation results show that the ML offers lower error estimation while the other estimators present a good compromise between computational complexity and estimation accuracy.
Keywords :
Rayleigh channels; computational complexity; maximum likelihood estimation; mobile radio; radio transmitters; signal classification; ML estimation; Rayleigh channel; computational complexity; low-complexity estimation approach; lower error estimation; maximum likelihood estimation; mean AS estimation; mean AoA; mean angle of arrival; mean angular spread estimation; multiple signal classification; single source transmitter; spread root-MUSIC approach; two-stage approach; Accuracy; Covariance matrix; Maximum likelihood estimation; Sensors; Signal to noise ratio; Symmetric matrices; Angular Spread; Maximum Likelihood; Spread Root MUSIC; estimation; nominal Angle of Arrival;
Conference_Titel :
Communications, Computing and Control Applications (CCCA), 2011 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4244-9795-9
DOI :
10.1109/CCCA.2011.6031508
