基于BP神经网络和拦截能力提升的反导武器系统优化部署

Optimizing Deployment of Anti-missile Weapon System Based on BP Neural Network and Improving Interception Capability

防空导弹拦截弹道导弹的作战效能与防空导弹火力单元的部署位置密切相关,合理的战斗部署是成功反导的前提和关键。论文结合我方拦截杀伤能力和雷达天线指向作为约束条件,在满足拦截能力最大的同时对于各个目标的拦截能力分配平衡的条件下,分别以拦截弧段的最大值和拦截弧段的均方值进行表征来建立目标函数,基于BP网络算法对雷达天线发现方向进行了优化计算。

Fighting efficiency of air defense missile intercepting ballistic missile relates to position deployment of air defense missile fired unit.The reasonable fired deployment is premise and crux of anti-missile successfully.The interception capability and radar antenna direction are acted as constraint condition,and meeting the condition of maximum and uniform distribution intercep⁃tion capability to each target,the objective function is setup by the maximum and the mean square value of intercept arc section.And the radar antenna direction is optimized based on BP network algorithm.