局域跟踪的测速雷达网量测融合弹道解算  

Trajectory Estimation Based on Measurements Fusion for Local Doppler Radar Networks

作　　者：商临峰[1,2] 杨小军[1,3] 邢科义[1] 

机构地区：[1]西安交通大学系统工程研究所机械制造系统工程国家重点实验室,陕西西安710049 [2]太原卫星发射中心,山西太原030027 [3]长安大学信息工程学院,陕西西安710064

出　　处：《电子学报》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)

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.

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 

分 类 号：TN953[电子电信—信号与信息处理]