Paper Info
Title
A Minimum Variance Noise Algorithm for 2D and 3D Direction Estimation in MIMO Wireless Communication Systems
Abstract
Angle of arrival (AOA) estimation plays an essential role in several signal processing applications including tracking systems, beamforming technology and radar systems. An efficient AOA algorithm is proposed to find the direction of multiple arrival signal sources in 2D and 3D applications. The new method is called Minimum Variance Noise (MVN) and it depends upon the minimizing the output noise variance of an antenna array. The main idea and principal working of the MVN algorithm are presented and the mathematical model is derived. The Lagrange optimization technique is utilized to obtain the optimum weights. A computer simulation is carried out on linear and circular arrays including a wide range of scenarios to evaluate the estimation accuracy of the new algorithm. It is also compared with the popular AOA techniques and the results show that it gives better results with lower complexity.
Year
DOI
Venue
2018
10.1109/WINCOM.2018.8629717
2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM)
Keywords
Field
DocType
angle of arrival (AOA),antenna array,minimum Variance,positioning systems,wireless communication
Signal processing,Minimum-variance unbiased estimator,Beamforming,Computer science,Lagrange multiplier,Tracking system,MIMO,Antenna array,Algorithm,Angle of arrival
Conference
ISBN
Citations 
PageRank 
978-1-5386-7331-7
1
0.39
References 
Authors
8
7
Name
Order
Citations
PageRank
Mohammed A. G. Al-Sadoon121.11
A. Zweid220.77
Asif, R.332.51
Mohammed S. Bin-Melha432.75
Nabeel Abduljabbar510.39
James M. Noras63411.79
r a abdalhameed73318.14