摘要
红外成像制导导弹在识别红外诱饵弹前后会产生视线角跳变,引起制导指令突变,降低制导精度。以点源诱饵为对象,建立了视线角跳变模型,研究了视线角跳变的机理。针对视线角跳变引起脱靶量增加的问题,基于以当前统计模型为目标运动形式的传统卡尔曼滤波方法,设计了一种具有自适应方差的卡尔曼滤波器来提取视线角速度。仿真结果表明,在干扰影响下,传统卡尔曼滤波方法输出的视线角和角速度精度较差,具有自适应方差的卡尔曼滤波方法则能大幅提高弹目视线估计精度,提高导弹制导精度。
The LOS(line of sight) angle of infrared imaging guided missile will jump before/after identifying the infrared decoy, resulting in the guidance command mutation and reducing the guidance accuracy. Taking the point source decoy as the object, the LOS angle jump model is established and the jump mechanism is studied. In view of miss distance increase caused by LOS jump, a Kalman filter with adaptive variance is designed to extract LOS angular velocity based on the traditional Kalman filter that takes the current statistical model as the target motion form. The simulation results show that the accuracy of LOS angular velocity output by traditional Kalman filter is poor under the influence of interference, while that of Kalman filter with adaptive variance is better to improve the LOS angular accuracy and the guidance accuracy of missile in further.
作者
王炜强
张跃坤
贾晓洪
张晓阳
Wang Weiqiang;Zhang Yuekun;Jia Xiaohong;Zhang Xiaoyang(China Airborne Missile Academy,Luoyang 471009,China;Aviation Key Laboratory of Science and Technology on Airborne Guided Weapons,Luoyang 471009,China)
出处
《战术导弹技术》
北大核心
2022年第2期90-97,共8页
Tactical Missile Technology
关键词
红外成像制导
点源诱饵
自适应方差
卡尔曼滤波
视线角
跳变
脱靶量
infrared imaging guidance
point source decoy
adaptive variance
Kalman filter
LOS angle
jump
miss distance
