A New Low Complexity Angle of Arrival Algorithm for 1D and 2D Direction Estimation in MIMO Smart Antenna Systems

• Main Authors: Mohammed A. G. Al-Sadoon, Nazar T. Ali, Yousf Dama, Abdulkareim Zuid, Stephen M. R. Jones, Raed A. Abd-Alhameed, James M. Noras
• Format: Article
• Language: English
• Published: MDPI AG 2017-11-01
• Series: Sensors
• Subjects: direction estimation; smart antennas; wireless communication systems; direct data acquisition (DDA); multiple input multiple output (MIMO); angles of arrival (AOAs); covariance matrix; computational complexity
• Online Access: https://www.mdpi.com/1424-8220/17/11/2631

This paper proposes a new low complexity angle of arrival (AOA) method for signal direction estimation in multi-element smart wireless communication systems. The new method estimates the AOAs of the received signals directly from the received signals with significantly reduced complexity since it does not need to construct the correlation matrix, invert the matrix or apply eigen-decomposition, which are computationally expensive. A mathematical model of the proposed method is illustrated and then verified using extensive computer simulations. Both linear and circular sensors arrays are studied using various numerical examples. The method is systematically compared with other common and recently introduced AOA methods over a wide range of scenarios. The simulated results show that the new method has several advantages in terms of reduced complexity and improved accuracy under the assumptions of correlated signals and limited numbers of snapshots.