Robustness Beamforming Algorithms
Adaptive beamforming methods are known to degrade in the presence of steering vector and covariance matrix uncertinity. In this paper, a new approach is presented to robust adaptive minimum variance distortionless response beamforming make robust against both uncertainties in steering vector and cov...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Najafabad Branch, Islamic Azad University
2014-09-01
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| Series: | Journal of Intelligent Procedures in Electrical Technology |
| Subjects: | |
| Online Access: | http://jipet.iaun.ac.ir/pdf_5517_fc55c422322180ef337c8c9477ad6332.html |
| _version_ | 1827152542993219584 |
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| author | Sajad Dehghani Naser Parhizgar |
| author_facet | Sajad Dehghani Naser Parhizgar |
| author_sort | Sajad Dehghani |
| collection | DOAJ |
| description | Adaptive beamforming methods are known to degrade in the presence of steering vector and covariance matrix uncertinity. In this paper, a new approach is presented to robust adaptive minimum variance distortionless response beamforming make robust against both uncertainties in steering vector and covariance matrix. This method minimize a optimization problem that contains a quadratic objective function and a quadratic constraint. The optimization problem is nonconvex but is converted to a convex optimization problem in this paper. It is solved by the interior-point method and optimum weight vector to robust beamforming is achieved. |
| first_indexed | 2025-03-20T22:07:32Z |
| format | Article |
| id | doaj.art-1e3ea93cd70f476b894fb7607656821b |
| institution | Directory Open Access Journal |
| issn | 2322-3871 2345-5594 |
| language | English |
| last_indexed | 2025-03-20T22:07:32Z |
| publishDate | 2014-09-01 |
| publisher | Najafabad Branch, Islamic Azad University |
| record_format | Article |
| series | Journal of Intelligent Procedures in Electrical Technology |
| spelling | doaj.art-1e3ea93cd70f476b894fb7607656821b2024-08-09T13:03:48ZengNajafabad Branch, Islamic Azad UniversityJournal of Intelligent Procedures in Electrical Technology2322-38712345-55942014-09-015172130Robustness Beamforming AlgorithmsSajad Dehghani0Naser Parhizgar1Fars Science and Research Branch, Islamic Azad UniversityFars Science and Research Branch, Islamic Azad UniversityAdaptive beamforming methods are known to degrade in the presence of steering vector and covariance matrix uncertinity. In this paper, a new approach is presented to robust adaptive minimum variance distortionless response beamforming make robust against both uncertainties in steering vector and covariance matrix. This method minimize a optimization problem that contains a quadratic objective function and a quadratic constraint. The optimization problem is nonconvex but is converted to a convex optimization problem in this paper. It is solved by the interior-point method and optimum weight vector to robust beamforming is achieved.http://jipet.iaun.ac.ir/pdf_5517_fc55c422322180ef337c8c9477ad6332.htmlRobustnessUncertaintyMinimum Variance Distortionless Response BeamformingConvex Optimization |
| spellingShingle | Sajad Dehghani Naser Parhizgar Robustness Beamforming Algorithms Journal of Intelligent Procedures in Electrical Technology Robustness Uncertainty Minimum Variance Distortionless Response Beamforming Convex Optimization |
| title | Robustness Beamforming Algorithms |
| title_full | Robustness Beamforming Algorithms |
| title_fullStr | Robustness Beamforming Algorithms |
| title_full_unstemmed | Robustness Beamforming Algorithms |
| title_short | Robustness Beamforming Algorithms |
| title_sort | robustness beamforming algorithms |
| topic | Robustness Uncertainty Minimum Variance Distortionless Response Beamforming Convex Optimization |
| url | http://jipet.iaun.ac.ir/pdf_5517_fc55c422322180ef337c8c9477ad6332.html |
| work_keys_str_mv | AT sajaddehghani robustnessbeamformingalgorithms AT naserparhizgar robustnessbeamformingalgorithms |