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..
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Abstract
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.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Uncontrolled Keywords: | Adaptive Beamforming; Generalized Opposition-based Simulated Kalman Filter |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 20 Oct 2016 07:09 |
| Last Modified: | 08 Feb 2018 01:36 |
| URI: | http://umpir.ump.edu.my/id/eprint/14849 |
| Download Statistic: | View Download Statistics |
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