捷联相控阵雷达导引头直接固联于弹体,仅能为制导系统提供目标体视线角,采取传统比例导引的末制导弹药应用捷联相控阵雷达导引头时,还需结合弹体姿态信息提取视线角速率,以形成末制导指令。针对该问题,基于导引头提供的目标体视线角、弹目相对距离、相对接近速度等信息,利用自适应无迹卡尔曼滤波提出了一种捷联相控阵雷达导引头的视线角速率估计技术。仿真结果表明,所提算法对视线角速率的估计效果优于工程中常用的α-β微分滤波器,且具有更高的命中精度;基于某高性能微处理器对该算法完成了嵌入式实现,可看出其单次运行时间大于a-β微分滤波器,但在工程中仍满足实时性要求。

The strapdown phased array radar seeker is directly fixed to the missile body and can only provide the target's body line of sight angle for the guidance system. Therefore, when the terminal guidance ammunition adopts the traditional proportional guidance and applies the strapdown phased array radar seeker, it also needs to extract the line of sight angle rate combined with the missile body attitude information to form the terminal guidance command. In order to solve this problem, based on the information provided by the seeker, such as the target's body line of sight angle, the relative distance be angle, the relative distance between the missile and the target, the relative approach speed, a technique for estimating the line of sight angle rate of the strapdown phased array radar seeker is proposed using adaptive unscented Kalman filter. The simulation results show that the proposed algorithm has better estimation effect on the line of sight angle rate than the aẞ filter commonly used in engineering, and has higher hit accuracy; the embedded implementation of the algorithm based on a highperformance microprocessor shows that the single run time of the algorithm is longer than that of the aẞ differential filter, but it still meets the realtime requirements in engineering.