基于反向扩展卡尔曼滤波的弹道外推算法  

A Ballistic Extrapolation Algorithm Based on Inverse Extended Kalman Filter

作　　者：王干 熊风 欧能杰 卞磊[1] 杨广平[1] WANG Gan;XIONG Feng;OU Nengjie;BIAN Lei;YANG Guangping(Nanjing Research Institute of Electronics Technology,Nanjing 210039,China)

机构地区：[1]南京电子技术研究所,南京210039

出　　处：《电光与控制》2020年第12期49-52,89,共5页Electronics Optics & Control

摘　　要：针对炮位侦察雷达现有的弹道外推算法中远点外推导致的炮位估计误差问题,提出了一种基于反向扩展卡尔曼滤波的弹道外推算法。该算法在传统弹道外推算法的基础上,建立包含弹道系数在内的七维状态向量滤波模型,将正向滤波的终点作为反向滤波的起点,实现反向扩展卡尔曼滤波,并从反向滤波的终点开始,利用四阶龙格-库塔方程向弹道起点进行外推。仿真实验结果表明,所提基于反向扩展卡尔曼滤波的弹道外推算法的外推精度相比原算法提高约50%。Aiming at the position estimation error caused by far-point extrapolation in the existing ballistic extrapolation algorithm of the gun reconnaissance radara ballistic extrapolation algorithm based on the inverse extended Kalman filter is proposed.Based on the traditional ballistic extrapolation algorithma filtering model of seven-dimensional state vectors including the trajectory coefficients is established in the algorithmand the end point of forward filtering is regarded as the start point of inverse filtering to implement the inverse extended Kalman filtering.Starting from the end point of the inverse filteringthe fourth-order Runge-Kutta equation is used to extrapolate towards the ballistic starting point.Simulation experiments and results show that the extrapolation accuracy of the proposed ballistic extrapolation algorithm based on the inverse extended Kalman filter is improved by about 50%compared with that of the original algorithm.

关 键 词：弹道外推算法 扩展卡尔曼滤波 反向滤波 四阶龙格-库塔 

分 类 号：TJ012.3[兵器科学与技术—兵器发射理论与技术]