摘要
组网测速雷达覆盖地域较广,火箭飞行初始段,只有局域雷达网捕获目标,没有足够速度量测,无法独立解算弹道.本文利用测速雷达精度较低的角度量测,以交会方法先获得初步的目标位置估计作为伪定位量测,利用无迹卡尔曼滤波(UKF)将其与高精度速度量测融合对弹道进行估计.蒙特卡罗仿真表明,该方法可以弥补角度量测的精度,获得满足精度要求的弹道估计.
In the rocket propulsion stage,only a few Doppler radars can track the target due to Doppler radar networks generally cover a very large area.We could not get the accurate trajectory estimate with insufficient velocity measurements.In this paper,we propose a trajectory estimation approach based on measurements fusion.The proposed method gets a rough trajectory estimate using Doppler radar angle-measurements.The initial trajectory estimate obtained by bearing measurement intersection is taken as the pseudo-measurement.Then,the pseudo-measurements are fused with velocity measurements via unscented Kalman filter（UKF）.The Monte Carlo simulation results show that the proposed approach can compensate the accuracy of bearing-only measurement,and improve the track estimation.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2013年第3期615-618,共4页
Acta Electronica Sinica
基金
国家自然科学基金项目(No.50975224No.60975028)
中央高校基本科研业务费项目(No.2012CHDZD011)
关键词
机动目标跟踪
弹道解算
多测角交会
信息融合
无迹卡尔曼滤波
maneuvering target tracking
trajectory estimation
bearing intersection
information fusion
unscented Kalman filter
