Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter
In this paper, a new population-based metaheuristic optimization algorithm named Generalized Opposition-based Simulated Kalman Filter (GOBSKF) is proposed as adaptive beamforming algorithm. GOBSKF is an improved version of Simulated Kalman Filter (SKF). Adaptive beamforming algorithm based on GOBS...
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| Format: | Conference or Workshop Item |
| Language: | en |
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Universiti Malaysia Pahang
2016
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| Online Access: | http://umpir.ump.edu.my/id/eprint/14849/1/P001%20pg1-9.pdf http://umpir.ump.edu.my/id/eprint/14849/ http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip |
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| _version_ | 1831524075160207360 |
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| author | Kelvin, Lazarus Nurul Hazlina, Noordin Kamil Zakwan, Mohd Azmi Nor Hidayati, Abdul Aziz Zuwairie, Ibrahim |
| author_facet | Kelvin, Lazarus Nurul Hazlina, Noordin Kamil Zakwan, Mohd Azmi Nor Hidayati, Abdul Aziz Zuwairie, Ibrahim |
| author_sort | Kelvin, Lazarus |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | In this paper, a new population-based metaheuristic optimization algorithm named Generalized Opposition-based
Simulated Kalman Filter (GOBSKF) is proposed as adaptive beamforming algorithm. GOBSKF is an improved version of
Simulated Kalman Filter (SKF). Adaptive beamforming algorithm based on GOBSKF is compared with previously published work
which is Adaptive Mutated Boolean PSO (AMBPSO) and Minimum Variance Distortionless Response (MVDR) for different noise
level. The results show that GOBSKF is proven to be better than AMBPSO and MVDR. |
| format | Conference or Workshop Item |
| id | my.ump.umpir.14849 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2016 |
| publisher | Universiti Malaysia Pahang |
| record_format | eprints |
| spelling | my.ump.umpir.148492018-02-08T01:36:27Z http://umpir.ump.edu.my/id/eprint/14849/ Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter Kelvin, Lazarus Nurul Hazlina, Noordin Kamil Zakwan, Mohd Azmi Nor Hidayati, Abdul Aziz Zuwairie, Ibrahim TK Electrical engineering. Electronics Nuclear engineering In this paper, a new population-based metaheuristic optimization algorithm named Generalized Opposition-based Simulated Kalman Filter (GOBSKF) is proposed as adaptive beamforming algorithm. GOBSKF is an improved version of Simulated Kalman Filter (SKF). Adaptive beamforming algorithm based on GOBSKF is compared with previously published work which is Adaptive Mutated Boolean PSO (AMBPSO) and Minimum Variance Distortionless Response (MVDR) for different noise level. The results show that GOBSKF is proven to be better than AMBPSO and MVDR. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14849/1/P001%20pg1-9.pdf Kelvin, Lazarus and Nurul Hazlina, Noordin and Kamil Zakwan, Mohd Azmi and Nor Hidayati, Abdul Aziz and Zuwairie, Ibrahim (2016) Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016) , 24-25 September 2016 , Universiti Malaysia Pahang (UMP), Pekan, Pahang. pp. 1-9.. (Published) http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Kelvin, Lazarus Nurul Hazlina, Noordin Kamil Zakwan, Mohd Azmi Nor Hidayati, Abdul Aziz Zuwairie, Ibrahim Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter |
| title | Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter |
| title_full | Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter |
| title_fullStr | Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter |
| title_full_unstemmed | Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter |
| title_short | Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter |
| title_sort | adaptive beamforming algorithm based on generalized opposition-based simulated kalman filter |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/14849/1/P001%20pg1-9.pdf http://umpir.ump.edu.my/id/eprint/14849/ http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip |
| url_provider | http://umpir.ump.edu.my/ |