摘要
针对传统的基于多普勒雷达量测转换的目标跟踪算法只适用于静止雷达的问题,将该算法推广至机载多普勒雷达。在每个递推周期里,首先将机载导航数据转换到东北天坐标系中;然后,将距离量测转换成东北天系下的位置伪量测,由此完成对目标的位置滤波;最后,联合目标位置滤波值及多普勒量测对目标进行运动状态滤波,由此得到目标的位置最终估计值。仿真实验结果表明,改进后算法的跟踪精度优于传统的多普勒雷达目标跟踪算法。
The traditional target tracking methods based on Doppler radar measurement conversion are only suitable for motionless radar.In this paper,a new target tracking method suitable for airborne radar is proposed.In each recursion period,the airborne navigation data is firstly transformed into an East-North-Up( ENU) coordinate system.Then,the range measurements are converted into the position pseudo-measurements of the ENU coordinate system,and the target position estimation can be obtained. Finally,the target tracking state is filtered by combining the position estimation and the Doppler measurements,and the final target location is obtained.The numerical simulation results show that the tracking accuracy of the proposed algorithm is superior to that of the traditional ones.
作者
熊健
左芝勇
熊杰
XIONG Jian;ZUO Zhiyong;XIONG Jie(Southwest China Institute of Electronic Technology,Chengdu 610036,China)
出处
《电讯技术》
北大核心
2019年第9期1026-1030,共5页
Telecommunication Engineering
关键词
机载雷达
目标跟踪
位置量测
多普勒量测
卡尔曼滤波
airborne radar
target tracking
position measurements
Doppler measurements
Kalman filter
