Skip to Main Content
One of the most important processes in smart antennas, is beam forming. The major function of beam forming is to change the beam pattern of the antenna for a given angle. If the antenna does not change its direction based on the receiving signal, the signal losses will be high. So, in order to increase the efficiency and to reduce the signal losses in the system, here a new method is proposed for beam forming in smart antenna along with spatial diversity using fuzzy interference system and neural network (NN). In order to provide training for NN and fuzzy logic, a huge personalised training dataset is generated using Genetic Algorithm. Given a desired angle as input, the proposed method gives the corresponding antenna parameters and phase angle as output. The length of the beam, interference, phase angle, number of patterns and spatial diversity are the smart antenna parameters that are considered in the proposed method. In addition, the proposed method increases the efficiency in determining the smart antenna parameters. The proposed method is implemented and the results are analysed. The comparative and analytical results prove the performance of the proposed method over other existing methods.