Comparison evaluation of Particle Swarm Optimization and Genetic algorithm for adaptive beam forming of uniform linear array applications
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چکیده
Work done in this paper is on the adaptive beam former of linear array with constant spacing (ULA). To get the beam former, PSO&GA are enforced. This paper presents the study of smart antenna beam formation where the main beam is configured by weighing and summing the antenna outputs. In order to adjust the ULA to the multifarious medium, PSO&GA are employed to account heterogeneous weight values of ULA. Discriminations done in connection of execution of both. PSO is uncomplicated in contrast to GA and merges at a faster rate. Since PSO shares potentiality of GA to determine random cost functions with uncomplicated practice, it evidently establishes better prospects for its broad usage in electromagnetic optimization. The side lobes can be decreased by equal spacing technique. MATLAB software is employed to compute the weights and to obtain the array factor of ULA. The results got from the PSO compared with GA for similar ULA
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تاریخ انتشار 2016