A New Low Complexity Angle of Arrival Algorithm for 1D and 2D Direction Estimation in MIMO Smart Antenna Systems
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 do...
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Published in | Sensors (Basel, Switzerland) Vol. 17; no. 11; p. 2631 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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15.11.2017
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Abstract | 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. |
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AbstractList | 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. |
Author | Al-Sadoon, Mohammed A G Ali, Nazar T Jones, Stephen M R Noras, James M Zuid, Abdulkareim Abd-Alhameed, Raed A Dama, Yousf |
AuthorAffiliation | 3 Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi 127788, UAE; ntali@kustar.ac.ae 4 Department of Electrical Engineering, Najah National University, Omar Ibn Al-Khattab St., 44859 Nablus, Palestine; yasdama@najah.edu 2 Department of Communication and Informatics Engineering, Basra University College of Science and Technology, Basra 61004, Iraq; kareimzweid@gmail.com 1 School of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK; M.A.G.Al-Sadoon@bradford.ac.uk (M.A.G.A.-S.); s.m.r.jones@bradford.ac.uk (S.M.R.J.); J.M.Noras@bradford.ac.uk (J.M.N.) |
AuthorAffiliation_xml | – name: 4 Department of Electrical Engineering, Najah National University, Omar Ibn Al-Khattab St., 44859 Nablus, Palestine; yasdama@najah.edu – name: 2 Department of Communication and Informatics Engineering, Basra University College of Science and Technology, Basra 61004, Iraq; kareimzweid@gmail.com – name: 3 Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi 127788, UAE; ntali@kustar.ac.ae – name: 1 School of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK; M.A.G.Al-Sadoon@bradford.ac.uk (M.A.G.A.-S.); s.m.r.jones@bradford.ac.uk (S.M.R.J.); J.M.Noras@bradford.ac.uk (J.M.N.) |
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Keywords | angles of arrival (AOAs) direct data acquisition (DDA) direction estimation multiple input multiple output (MIMO) wireless communication systems smart antennas computational complexity covariance matrix |
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SubjectTerms | Accuracy Algorithms Angle of arrival angles of arrival (AOAs) Antennas Arrays 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 |
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Title | A New Low Complexity Angle of Arrival Algorithm for 1D and 2D Direction Estimation in MIMO Smart Antenna Systems |
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