摘要
基于捷联惯导/反辐射导引头组合抗目标雷达关机制导方案,研究了有限差分卡尔曼滤波(FDEKF)方法在对目标雷达被动定位中的应用。考虑反辐射导引头测角存在非线性特性,提出了一种基于扩展状态变量维数的方法实现了目标状态估计和导引头非线性特性补偿。仿真结果表明,FDEKF是一种具有良好性能的非线性滤波方法,可以代替传统的EKF解决反辐射无人机对目标雷达的被动定位问题。
Based on guidance scheme of antagonism against the radar stopping radiating using the strapdown inertial navigation system and antiradar seeker, the application of finite-difference extended Kalman filter （FDEKF） to passive localization of target is studied. Considering nonlinear characteristic of the antiradar seeker, a method of extending dimensions of state variables was present to achieve estimation of target＇ s state and compensation of nonlinear characteristic of the antiradar seeker. The result of simulation shows that the FDEKF has good performance and can be used as nonlinear filter instead of traditional method of EKF to solve the problem of passive localization to a target.
出处
《飞行力学》
CSCD
北大核心
2008年第3期89-92,共4页
Flight Dynamics
关键词
反辐射无人机
有限差分卡尔曼滤波
非线性滤波
被动定位
antiradiation UAV
finite-difference extended Katman filter （FDEKF）
nonlinear filter
passive localization
