Research on target location prediction based on improved PSO-RBF Neural Network

In order to make the antenna point to the target position in real time and obtain the current target parameters, an improved PSO-RBF neural network for antenna target position prediction was proposed. Based on the RBF neural network model, the improved PSO-RBF algorithm was used to optimize the network parameters, and the prediction model was established on the basis of the measured data. Simulation results show that the prediction effect of this model is better than traditional RBF neural network and conventional PSO-RBF neural network, and it has better practical value.