摘要
针对单通道防空导弹导引头图像的弹旋解耦问题,提出采用图像解析算法进行弹旋软解耦的方法,可以使弹旋解耦不依赖于通常采用的陀螺等硬件装置。通过建立导弹与目标相对运动空间模型和成像模型,得出了耦合和解耦构成可逆过程的结论,图像解析算法建立在互逆结论的基础上,将导弹旋转角速度的估计分为近似估计和精确补偿两个过程,并设计了角速度实时跟踪的解耦流程。仿真实验表明,图像解析算法进行弹旋解耦具有速度快,精度高等优点,其时延小于0.02s,误差小于0.005r/s,并有效的节约了解耦成本。
In this paper, a new decoupling method in infrared homing seeker of single channel-controlled air defense missile was proposed, which relied on not hardware devices such as gyro but imaging analytic algorithm. By analyzing the imaging model of moving target relative to rotating seeker, we found that there exists a reversible relation between coupling and decoupling course. Based on the relation, an analytic decoupling algorithm was set up. The estimation of rotation angle velocity was separated into two parts, i.e. approximate estimation and precise compensation. The simulation results show this approach can cut down the decoupiing cost, and solve the coupling problem of imaging rotation effectively.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2006年第B12期97-103,共7页
Journal of Astronautics
关键词
单通道导弹
弹旋解耦
相对运动成像模型
图像解析算法
Single channel-controlled air defense missile
Decoupling of imaging rotation
Relative motion imaging models
Imaging analytic algorithm