RBF网络用于战车火控系统弹道解算的方法  

Ballistic Resolving Algorithm of Fire Control System based on RBF Neural Network

作　　者：吕强[1] 李建勋[1] 周启煌[1] 

机构地区：[1]装甲兵工程学院,北京100072

出　　处：《火力与指挥控制》2007年第4期26-28,共3页Fire Control & Command Control

基　　金：中国兵器科学研究院基金资助项目

摘　　要：弹道解算问题对战车火控系统的性能有着直接的影响。传统的弹道解算方法在精度和实时性方面都存在一定的局限性。为了提高解算精度、战车首发命中率和解算的实时性,基于RBF网络的函数逼近及预测能力,将RBF网络用于弹道解算,对传统算法进行优化,得到了新的弹道解算方法。最后对所提方法进行了仿真,发现新方法在解算精度没有降低的条件下,大大提高了弹道解算的实时性。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.

关 键 词：战车火控系统 RBF网络 弹道解算 

分 类 号：TJ81[兵器科学与技术—武器系统与运用工程]