A Radial Basis Function Neural Network Beamforming Method with Beam Steering

According to the characteristics of array signal processing, a beam forming algorithm of radial basis function neural network (RBFNN) with adjustable beam is proposed. This method takes advantage of the parallel computing structure of neural network. The beam forming is realized by the weighted vector of the beamforming by radial basis function network, and then the fast beam steering is realized by weighting the center of the training path function. Theoretical analysis and simulation results show that the proposed algorithm can effectively improve the operation speed, has robust beam control ability, and has high practical application value.