摘要
针对动能拦截器在大气层外完成反导任务的末制导滤波问题,利用激光测距仪的测距信息与导引头的测角信息,设计了一种非线性θ-D滤波算法。分析了这种滤波算法在实际应用中的一些问题,包括避免滤波发散的条件,权重系数阵的取值等。通过仿真验证,该滤波算法的精度高于工程上常用的α-β衰减记忆滤波。在该滤波算法的基础上,可以得到更精确的弹目相对运动信息,为进一步设计更先进的导引律提供了基础。
Aimed at the terminal fiher problem of exoatmospheric kill vehicle＇s antimissile mission, a nonlinear θ-D filter algorithm is proposed by using the range information from laser range finder and the angle measurement information from the seeker and inertial measurement unit. The problems of the condition free of instability and the selections of the weighting matrix are analyzed when the θ-D filter is applied on the engineering practice. The simulation results show that the computing accuracy of the θ-D filter is improved compared with the commonly used α-β filter and the higher accuracy of the relative movement information can be achieved based on the θ-D filter. Thus the design foundation of more advanced guidance laws is built by the θ-D filter.
出处
《现代防御技术》
北大核心
2009年第5期49-53,58,共6页
Modern Defence Technology
关键词
θ-D滤波算法
激光测距仪
状态Riccati方程滤波
动能拦截器
最优估计
θ-D filter algorithm
laser range finder
state dependant Riccatic equation filter （SDREF）
exoatmospheric kill vehicle （EKV）
optimal estimation
