A Novel Approach for Direction of Arrival Estimation in Co-Located MIMO Radars by Exploiting Extended Array Manifold Vectors
Multiple-input multiple-output (MIMO) radars enable better estimation accuracy with improved resolution in contrast to traditional radar systems; thus, this field has attracted attention in recent years from researchers, funding agencies, and practitioners. The objective of this work is to estimate...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/5/2550 |
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| author | Sadiq Akbar Muhammad Sohail Fawad Zaman Muhammad Abdul Rehman Khan Nopdanai Ajavakom Gridsada Phanomchoeng |
| author_facet | Sadiq Akbar Muhammad Sohail Fawad Zaman Muhammad Abdul Rehman Khan Nopdanai Ajavakom Gridsada Phanomchoeng |
| author_sort | Sadiq Akbar |
| collection | DOAJ |
| description | Multiple-input multiple-output (MIMO) radars enable better estimation accuracy with improved resolution in contrast to traditional radar systems; thus, this field has attracted attention in recent years from researchers, funding agencies, and practitioners. The objective of this work is to estimate the direction of arrival of targets for co-located MIMO radars by proposing a novel approach called flower pollination. This approach is simple in concept, easy to implement and has the capability of solving complex optimization problems. The received data from the far field located targets are initially passed through the matched filter to enhance the signal-to-noise ratio, and then the fitness function is optimized by incorporating the concept of virtual or extended array manifold vectors of the system. The proposed approach outperforms other algorithms mentioned in the literature by utilizing statistical tools for fitness, root mean square error, cumulative distribution function, histograms, and box plots. |
| first_indexed | 2024-03-11T07:10:24Z |
| format | Article |
| id | doaj.art-6619ed8ca2f94d34b245fd0d4f81f5af |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T07:10:24Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6619ed8ca2f94d34b245fd0d4f81f5af2023-11-17T08:36:22ZengMDPI AGSensors1424-82202023-02-01235255010.3390/s23052550A Novel Approach for Direction of Arrival Estimation in Co-Located MIMO Radars by Exploiting Extended Array Manifold VectorsSadiq Akbar0Muhammad Sohail1Fawad Zaman2Muhammad Abdul Rehman Khan3Nopdanai Ajavakom4Gridsada Phanomchoeng5Department of Mechanical Engineering, Chulalongkorn University, Bangkok 10330, ThailandSchool of Information Science and Technology, University of Science and Technology of China (USTC), Hefei 230026, ChinaDepartment of Electrical & Computer Engineering, COMSATS University Islamabad, Islamabad 44000, PakistanDepartment of Avionics Engineering, Institute of Space Technology Islamabad, Islamabad 44000, PakistanDepartment of Mechanical Engineering, Chulalongkorn University, Bangkok 10330, ThailandDepartment of Mechanical Engineering, Chulalongkorn University, Bangkok 10330, ThailandMultiple-input multiple-output (MIMO) radars enable better estimation accuracy with improved resolution in contrast to traditional radar systems; thus, this field has attracted attention in recent years from researchers, funding agencies, and practitioners. The objective of this work is to estimate the direction of arrival of targets for co-located MIMO radars by proposing a novel approach called flower pollination. This approach is simple in concept, easy to implement and has the capability of solving complex optimization problems. The received data from the far field located targets are initially passed through the matched filter to enhance the signal-to-noise ratio, and then the fitness function is optimized by incorporating the concept of virtual or extended array manifold vectors of the system. The proposed approach outperforms other algorithms mentioned in the literature by utilizing statistical tools for fitness, root mean square error, cumulative distribution function, histograms, and box plots.https://www.mdpi.com/1424-8220/23/5/2550direction of arrival estimationflower pollination algorithmco-located radarMIMO systems |
| spellingShingle | Sadiq Akbar Muhammad Sohail Fawad Zaman Muhammad Abdul Rehman Khan Nopdanai Ajavakom Gridsada Phanomchoeng A Novel Approach for Direction of Arrival Estimation in Co-Located MIMO Radars by Exploiting Extended Array Manifold Vectors Sensors direction of arrival estimation flower pollination algorithm co-located radar MIMO systems |
| title | A Novel Approach for Direction of Arrival Estimation in Co-Located MIMO Radars by Exploiting Extended Array Manifold Vectors |
| title_full | A Novel Approach for Direction of Arrival Estimation in Co-Located MIMO Radars by Exploiting Extended Array Manifold Vectors |
| title_fullStr | A Novel Approach for Direction of Arrival Estimation in Co-Located MIMO Radars by Exploiting Extended Array Manifold Vectors |
| title_full_unstemmed | A Novel Approach for Direction of Arrival Estimation in Co-Located MIMO Radars by Exploiting Extended Array Manifold Vectors |
| title_short | A Novel Approach for Direction of Arrival Estimation in Co-Located MIMO Radars by Exploiting Extended Array Manifold Vectors |
| title_sort | novel approach for direction of arrival estimation in co located mimo radars by exploiting extended array manifold vectors |
| topic | direction of arrival estimation flower pollination algorithm co-located radar MIMO systems |
| url | https://www.mdpi.com/1424-8220/23/5/2550 |
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