基于改进遗传算法的SAR末制导段弹道优化设计  

Trajectory Design and Optimization for SAR Terminal-Guidance Section Based on Improved Genetic Algorithm

作　　者：赵振波[1] 张刚[1] 李相平[1] 

机构地区：[1]海军航空工程学院电子信息工程系,山东烟台264001

出　　处：《兵工自动化》2012年第3期64-68,共5页Ordnance Industry Automation

基　　金："泰山学者"建设工程专项经费资助

摘　　要：应用改进实数编码遗传算法,对基于弹载合成孔径雷达(synthetic aperture radar,SAR)导引头的反舰导弹末制导段的弹道优化设计进行研究。分析飞行弹道和观测视角对弹载SAR导引头方位分辨力的影响,给出弹载SAR成像对导弹飞行弹道的约束,将导弹横向加速度作为优化变量,构建与方位分辨率和波束驻留时间相关的目标函数。仿真结果表明:与标准遗传算法优化相比,改进遗传算法优化后的目标函数值减小更快,能更快得到最优解。Trajectory optimization problem of anti-ship missile synthetic aperture radars（SAR） terminal guidance is researched using an improved real-coded genetic algorithm.The effect of trajectory and look angle to the azimuth resolution of the missile-borne synthetic aperture radar seeker was analyzed,and constraints of imaging of the missile-borne SAR to missile flying trajectory were given.Missile lateral acceleration was regarded as optimized variable,and objective function about the dwell time and the desired azimuth resolution was established.Simulation results show that the optimized values of objective function by the improved genetic algorithm reduce more sharply than by standard genetic algorithm,so the optimal solution can be obtained more quickly.

关 键 词：反舰导弹 弹载SAR 改进遗传算法 优化 

分 类 号：TJ765[兵器科学与技术—武器系统与运用工程]