Improvement of DOA Estimation based on Lanczos Algorithm
In this paper, the problem of estimating the Direction Of Arrival (DOA) is presented. DOA based on Eigen Vector Decomposition (EVD) shows that the computational complexities are costly and high so that eigen structure algorithms suffer for limited application in real time signal processing environme...
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2014-08-01
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| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_99904_4a31d49a42e87f6d4ade5cf2942b08a1.pdf |
| _version_ | 1797325683942227968 |
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| author | Sinan Majid Abdul Satar Hussein Abdul Adil Mohmmad |
| author_facet | Sinan Majid Abdul Satar Hussein Abdul Adil Mohmmad |
| author_sort | Sinan Majid Abdul Satar |
| collection | DOAJ |
| description | In this paper, the problem of estimating the Direction Of Arrival (DOA) is presented. DOA based on Eigen Vector Decomposition (EVD) shows that the computational complexities are costly and high so that eigen structure algorithms suffer for limited application in real time signal processing environment, to reduce the computational complexities, a new approach base Lanczos algorithm is proposed instead of using Eigen Vector Decomposition. Since the Minimum-Norm Method (MNM) based on EVD is considered as one of the best techniques for DOA, Therefore, one of the efforts in this paper is directed to investigate the performance of Minimum-Norm Method (MNM) and compare it with Proposed Method (PM), so different computer simulation programs were used to do this job. The simulation results done by assist of (Matlab ver.7), shows that the proposed method can outperform better results to make the proposed method better suitable for radar, sonar, and passive detection application. |
| first_indexed | 2024-03-08T06:14:03Z |
| format | Article |
| id | doaj.art-e9156491596144b1a46cc2092c47abc4 |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:14:03Z |
| publishDate | 2014-08-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-e9156491596144b1a46cc2092c47abc42024-02-04T17:31:10ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582014-08-013271684169410.30684/etj.32.7A.699904Improvement of DOA Estimation based on Lanczos AlgorithmSinan Majid Abdul SatarHussein Abdul Adil MohmmadIn this paper, the problem of estimating the Direction Of Arrival (DOA) is presented. DOA based on Eigen Vector Decomposition (EVD) shows that the computational complexities are costly and high so that eigen structure algorithms suffer for limited application in real time signal processing environment, to reduce the computational complexities, a new approach base Lanczos algorithm is proposed instead of using Eigen Vector Decomposition. Since the Minimum-Norm Method (MNM) based on EVD is considered as one of the best techniques for DOA, Therefore, one of the efforts in this paper is directed to investigate the performance of Minimum-Norm Method (MNM) and compare it with Proposed Method (PM), so different computer simulation programs were used to do this job. The simulation results done by assist of (Matlab ver.7), shows that the proposed method can outperform better results to make the proposed method better suitable for radar, sonar, and passive detection application.https://etj.uotechnology.edu.iq/article_99904_4a31d49a42e87f6d4ade5cf2942b08a1.pdfdirection of arrivallanczoseigen decomposition |
| spellingShingle | Sinan Majid Abdul Satar Hussein Abdul Adil Mohmmad Improvement of DOA Estimation based on Lanczos Algorithm Engineering and Technology Journal direction of arrival lanczos eigen decomposition |
| title | Improvement of DOA Estimation based on Lanczos Algorithm |
| title_full | Improvement of DOA Estimation based on Lanczos Algorithm |
| title_fullStr | Improvement of DOA Estimation based on Lanczos Algorithm |
| title_full_unstemmed | Improvement of DOA Estimation based on Lanczos Algorithm |
| title_short | Improvement of DOA Estimation based on Lanczos Algorithm |
| title_sort | improvement of doa estimation based on lanczos algorithm |
| topic | direction of arrival lanczos eigen decomposition |
| url | https://etj.uotechnology.edu.iq/article_99904_4a31d49a42e87f6d4ade5cf2942b08a1.pdf |
| work_keys_str_mv | AT sinanmajidabdulsatar improvementofdoaestimationbasedonlanczosalgorithm AT husseinabduladilmohmmad improvementofdoaestimationbasedonlanczosalgorithm |