PSOGSA-Explore: A new hybrid metaheuristic approach for beampattern optimization in collaborative beamforming
We propose a new algorithm to lower the sidelobes in collaborative beamforming. We achieved up to 100% improvement in sidelobe reduction. Variable parameter tuning is simplified in the proposed algorithm. The proposed algorithm successfully avoids the problem of premature convergence. The proposed method does not increase the computational complexity of the system.
collaborative beamforming random array sidelobe suppression particle swarm optimization (pso) gravitational search algorithm (gsa)