학술논문

A Minimum Variance Noise Algorithm for 2D and 3D Direction Estimation in MIMO Wireless Communication Systems
Document Type
Conference
Source
2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM) Wireless Networks and Mobile Communications (WINCOM), 2018 6th International Conference on. :1-5 Oct, 2018
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Power, Energy and Industry Applications
Signal Processing and Analysis
Antenna arrays
Estimation
Mathematical model
Signal to noise ratio
Array signal processing
Covariance matrices
Signal processing algorithms
angle of arrival (AOA)
antenna array
minimum Variance
positioning systems
wireless communication
Language
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.