A New Low Complexity Angle of Arrival Algorithm for 1D and 2D Direction Estimation in MIMO Smart Antenna Systems
| Autor: | Y. A. S. Dama, Stephen M. R. Jones, Nazar Ali, Raed A. Abd-Alhameed, Mohammed A. G. Al-Sadoon, Abdulkareim Zuid, James M. Noras |
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| Rok vydání: | 2017 |
| Předmět: |
Computer science
MIMO Smart antenna 02 engineering and technology lcsh:Chemical technology 01 natural sciences Biochemistry Signal Article Analytical Chemistry Matrix (mathematics) direct data acquisition (DDA) multiple input multiple output (MIMO) Angle of arrival 0202 electrical engineering electronic engineering information engineering Range (statistics) lcsh:TP1-1185 Electrical and Electronic Engineering direction estimation smart antennas wireless communication systems angles of arrival (AOAs) covariance matrix computational complexity Instrumentation Covariance matrix 010401 analytical chemistry 020206 networking & telecommunications Atomic and Molecular Physics and Optics 0104 chemical sciences Algorithm |
| Zdroj: | Sensors Sensors; Volume 17; Issue 11; Pages: 2631 Sensors (Basel, Switzerland) Sensors, Vol 17, Iss 11, p 2631 (2017) PubMed Central |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s17112631 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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