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

• Published in: Sensors (Basel, Switzerland) Vol. 17; no. 11; p. 2631
• Main Authors: Al-Sadoon, Mohammed A G, Ali, Nazar T, Dama, Yousf, Zuid, Abdulkareim, Jones, Stephen M R, Abd-Alhameed, Raed A, Noras, James M
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 15-11-2017; MDPI
• Subjects: Accuracy; Algorithms; Angle of arrival; angles of arrival (AOAs); Antennas; Arrays; Complexity; computational complexity; Computer engineering; Computer simulation; Correlation analysis; covariance matrix; Decomposition; direct data acquisition (DDA); direction estimation; Informatics; Matrix methods; Methods; MIMO (control systems); multiple input multiple output (MIMO); Music; Noise; Sensor arrays; Sensors; Signal processing; Smart antenna systems; smart antennas; Spacetime; Sparsity; Wireless communication systems; Wireless communications; angles of arrival (AOAs); direct data acquisition (DDA); direction estimation; multiple input multiple output (MIMO); wireless communication systems; smart antennas; computational complexity; covariance matrix
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s17112631

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.