摘要
针对雷达导引头跟踪机动目标问题,建立了一种适于高机动目标探测的非线性系统模型,采用扩展卡尔曼滤波算法推导适用于弹载脉冲多普勒雷达机动目标探测的滤波模型,用以估计俯仰失调角、方位失调角、弹目相对速度和距离等信息,利用系统数学模型对目标加速度及弹目视线角速率进行解算估计。对标称弹道和极限弹道的跟踪仿真表明,所建立的系统模型和滤波设计方案,能够处理真实飞行中存在的部分信息缺失问题,对于极端情况下的遮挡问题也能在一定时间内保证较高的跟踪精度。
A non-linear system model is developed for high maneuvering target detection. The extended Kalman filter algorithm is introduced for Pulse Doppler （PD） radar to estimate the offset angles of pitch and azimuth, the relative velocity of missile and target, and distance information while detecting maneuve- ring target. The acceleration of target and angle of sight are obtained by system mathematic model. The tracking simulations of nominal trajectory and extreme trajectory show that the proposed system model and filter design approach can deal with partial information missing problems in the real flight condition and maintain good tracking precision for certain time even in extreme blocking situation.
出处
《航天控制》
CSCD
北大核心
2012年第3期12-18,28,共8页
Aerospace Control
基金
国家自然科学基金(61174221)
关键词
扩展卡尔曼滤波
当前统计模型
机动目标跟踪
脉冲多普勒雷达
Extended Kalman filter
Current statistical model
Maneuvering target tracking
Pulse Doppler radar
