Interference reduction by null-forming optimization based MVDR technique using gravitational search algorithm
Interference reduction one of the major problem in the wireless communication systems. Minimum Variance Distortionless Response (MVDR) Beamformer is the process of extracting the user-of-interest (UOI) signal from interferer signals and external noise. In the present work, Gravitational Search Algor...
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
EAI
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/27003/7/Interference%20Reduction%20by%20Null-forming%20Optimization%20Based.pdf |
| _version_ | 1796993792443678720 |
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| author | Shahab, Suhail Najm Ayib Rosdi, Zainun Alabdraba, Waleed M. Sh. Nurul Hazlina, Noordin |
| author_facet | Shahab, Suhail Najm Ayib Rosdi, Zainun Alabdraba, Waleed M. Sh. Nurul Hazlina, Noordin |
| author_sort | Shahab, Suhail Najm |
| collection | UMP |
| description | Interference reduction one of the major problem in the wireless communication systems. Minimum Variance Distortionless Response (MVDR) Beamformer is the process of extracting the user-of-interest (UOI) signal from interferer signals and external noise. In the present work, Gravitational Search Algorithm (GSA) is a new modern metaheuristic optimization technique used for optimizing the MVDR null-forming level by controlling the excitation weight coefficients in a linear antenna array radiation pattern synthesis. The best set of complex excitation coefficients solution in multidimensional problems evaluated based on two figure of merit, signal-to-interference-plus-noise ratio (SINR) and beam pattern accuracy for two scan angles. The results reported here have been compared with the results of conventional MVDR technique. MVDRGSA successfully used to calculate the excitation weight coefficients with the desired patterns for both accurate beam shaping and introduce deep pattern nulling. It found that the SINR and output beampattern were in good agreement with MVDRGSA. |
| first_indexed | 2024-03-06T12:38:47Z |
| format | Conference or Workshop Item |
| id | UMPir27003 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:38:47Z |
| publishDate | 2017 |
| publisher | EAI |
| record_format | dspace |
| spelling | UMPir270032020-03-22T23:55:07Z http://umpir.ump.edu.my/id/eprint/27003/ Interference reduction by null-forming optimization based MVDR technique using gravitational search algorithm Shahab, Suhail Najm Ayib Rosdi, Zainun Alabdraba, Waleed M. Sh. Nurul Hazlina, Noordin TK Electrical engineering. Electronics Nuclear engineering Interference reduction one of the major problem in the wireless communication systems. Minimum Variance Distortionless Response (MVDR) Beamformer is the process of extracting the user-of-interest (UOI) signal from interferer signals and external noise. In the present work, Gravitational Search Algorithm (GSA) is a new modern metaheuristic optimization technique used for optimizing the MVDR null-forming level by controlling the excitation weight coefficients in a linear antenna array radiation pattern synthesis. The best set of complex excitation coefficients solution in multidimensional problems evaluated based on two figure of merit, signal-to-interference-plus-noise ratio (SINR) and beam pattern accuracy for two scan angles. The results reported here have been compared with the results of conventional MVDR technique. MVDRGSA successfully used to calculate the excitation weight coefficients with the desired patterns for both accurate beam shaping and introduce deep pattern nulling. It found that the SINR and output beampattern were in good agreement with MVDRGSA. EAI 2017-03-09 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27003/7/Interference%20Reduction%20by%20Null-forming%20Optimization%20Based.pdf Shahab, Suhail Najm and Ayib Rosdi, Zainun and Alabdraba, Waleed M. Sh. and Nurul Hazlina, Noordin (2017) Interference reduction by null-forming optimization based MVDR technique using gravitational search algorithm. In: 1st EAI International Conference on Computer Science and Engineering (COMPSE 2016) , 11-12 November 2016 , Penang, Malaysia. pp. 1-12.. ISBN 9781631901362 http://dx.doi.org/10.4108/eai.27-2-2017.152345 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Shahab, Suhail Najm Ayib Rosdi, Zainun Alabdraba, Waleed M. Sh. Nurul Hazlina, Noordin Interference reduction by null-forming optimization based MVDR technique using gravitational search algorithm |
| title | Interference reduction by null-forming optimization based MVDR technique using gravitational search algorithm |
| title_full | Interference reduction by null-forming optimization based MVDR technique using gravitational search algorithm |
| title_fullStr | Interference reduction by null-forming optimization based MVDR technique using gravitational search algorithm |
| title_full_unstemmed | Interference reduction by null-forming optimization based MVDR technique using gravitational search algorithm |
| title_short | Interference reduction by null-forming optimization based MVDR technique using gravitational search algorithm |
| title_sort | interference reduction by null forming optimization based mvdr technique using gravitational search algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/27003/7/Interference%20Reduction%20by%20Null-forming%20Optimization%20Based.pdf |
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