基于去偏转换测量卡尔曼滤波的目标脱靶方向角识别

The Identification of the Target Miss in Azimuth Based on Converted Measurement Adaptive Kalman Filtering Algorithm with Debasing

研究了利用导引头天线测量的视线角速度分量进行目标脱靶方位识别的原理,推导了目标脱靶方向角与弹体坐标系下各方向上弹目距离和相对速度分量的关系表达式。将球坐标系下的导引头测量值转换到直角坐标系下并进行去偏处理,以直角坐标系下弹目距离、相对速度、加速度为状态变量,基于"当前"统计模型建立了自适应卡尔曼滤波方程组,利用前两点测量值估计了滤波初始状态,并用滤波值计算了目标脱靶方向角。仿真结果表明,该算法能很好地识别出目标脱靶方向角,且精度可以满足实战要求。

A method of identification of the target miss in azimuth utilizing the line-of-sight rate between the missile and target measured by seeker is researched.The mathematical expression of the angle of target miss in azimuth in which variables includes the constituents of measured distance and speed in missile body coordinate system is induced.The measured value of seeker initially settled in polar coordinate system is converted to be resettled and debased in rectangle coordinate system.The constituents of distance,speed,and acceleration in rectangle coordinate are regarded as state variables to establish the equations for Kalman filtering that is based on ＂current statistical＂ model.The initial estimation of filtering is established by the first and second measurements.The angle of target miss in azimuth is calculated by the value of Kalman filtering.The results of simulation indicate that the angle of target miss in azimuth can be identified very well by this algorithm,and the precision can fulfill the requirements of practical application.