基于遗传算法的弹载SAR弹道优化设计  

Trajectory Design and Optimization for Missile-Borne SAR Based on 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：《雷达科学与技术》2012年第3期257-261,共5页Radar Science and Technology

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研究了基于弹载SAR导引头的反舰导弹末制导段的弹道优化设计问题。首先分析了飞行弹道和观测视角对弹载SAR导引头方位分辨率的影响,建立了导弹运动的数学模型,给出了弹载SAR成像对导弹飞行弹道的约束,然后把导弹横向加速度作为优化变量,构建了与方位分辨率和波束驻留时间相关的目标函数。利用改进了交叉变异算子的遗传算法进行仿真,结果表明,弹道优化后的目标函数值相对于零控方式大幅缩减,证明了该方法的有效性。Trajectory optimization problem of anti-ship missile synthetic aperture radar（SAR） in terminal guidance segment is researched using an improved real-coded genetic algorithm. Firstly, the effect of trajectory and look angle on the azimuth resolution of the missile-borne synthetic aperture radar seeker is analyzed and the missile motion model is established. The constraints of missile-borne SAR imaging to the missile flying trajectory are given. Secondly, the missile lateral acceleration is regarded as the optimized variable, and the objective function about the dwell time and the desired azimuth resolution is established. Lastly, the model is simulated using improved crossover and mutation operator of genetic algorithm. Simulation results show that the optimized values of objective function can be reduced sharply compared with zero-control mode. The validity of the method is demonstrated.

关 键 词：弹载SAR 反舰导弹 优化 遗传算法 

分 类 号：TN959.2[电子电信—信号与信息处理] TN958[电子电信—信息与通信工程]