摘要
捷联式激光导引头与弹体固联,导引头只能提供视线误差角信息。本人采用了UKF算法得到视线角速度。不过当攻击移动目标时,UKF算法的制导精度和收敛时间均下降。为了提高算法的制导精度和收敛时间,本文提出了一种基于bp神经网络算法的初值在线解算算法。仿真结果表明算法可以大大提高视线角速度算法的收敛速度和制导精度。
The strapdown laser seeker and missile body are combined,and the seeker can only provide the information of line of sight error.I used the UKF algorithm to get the line of sight speed.However,when the target is attacked,the guidance precision and convergence time of the UKF algorithm are decreased.In order to improve the guidance precision and convergence time of the algorithm,this paper presents a new algorithm based on BP neural network algorithm. The simulation results show that the algorithm can greatly improve the convergence speed and precision of the line of sight.
出处
《电子测试》
2016年第9X期54-55,共2页
Electronic Test
