Trajectory Design and Optimization for Missile-Borne SAR Based on Genetic Algorithm

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.