Ballistic Resolving Algorithm of Fire Control System based on RBF Neural Network
Zhou Qi-huang · Fire Control and Command Control · 2007
The resolving algorithm of ballistic equations has direct effect on the performance of the fire control system.The conventional resolving algorithm has some limitations in accuracy and synchronism.In order to improve the accuracy,hit rate and synchronism,based on the approach and predication ability of RBF neural network,a new ballistic resolving method is proposed,which optimizes the rational algorithm with RBF.Results of simulation show that the degree of accuracy is not lower than rational method,while the synchronism is increased.