Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter

• Main Authors: Kelvin, Lazarus, Nurul Hazlina, Noordin, Kamil Zakwan, Mohd Azmi, Nor Hidayati, Abdul Aziz, Zuwairie, Ibrahim
• Format: Conference or Workshop Item
• Language: English
• Published: Universiti Malaysia Pahang 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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

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...