一种高分辨雷达空间目标跟踪方法研究  

A study on high resolution radar tracking method for space target

作　　者：刘政玮 陈映[1] 鲁耀兵[1] LIU Zhengwei;CHEN Ying;LU Yaobing(Beijing Institute of Radio Measurement,Beijing 100854,China)

机构地区：[1]北京无线电测量研究所,北京100854

出　　处：《系统工程与电子技术》2024年第2期488-496,共9页Systems Engineering and Electronics

摘　　要：高分辨雷达在跟踪远程空间目标时,其量测坐标转换会引起一类特殊的强非线性问题。对其产生机理进行了分析。经典的非线性滤波技术的跟踪精度会急剧下降。因此,提出一种基于中间过渡状态的Kalman滤波器,在直角坐标系下进行目标状态预测,避免了球坐标系下目标运动的复杂建模;预测后,通过选取量测空间内目标位置和速度量及其协方差作为中间过渡状态,在测量坐标系下进行目标状态线性更新;更新后,再将中间状态映射到直角坐标系下,从而得到目标状态的一致性估计。仿真实验结果表明,基于中间过渡状态的Kalman滤波器可有效提高高分辨雷达对空间目标的跟踪精度。When high resolution radar is tracking space targets,the transformation of measurement coordinate will cause a special kind of strong nonlinear problems,this paper analyzes the mechanism of its occurrence.The tracking accuracy of classical nonlinear filtering technology will decline sharply.Therefore,this paper proposes an improved Kalman filter based on the intermediate transition state.This filter predicts the target state in the rectangular coordinate system and avoids the complex modeling of target motion in spherical coordinates.By selecting the position,velocity and their covariance in the measurement space as the intermediate transition state after prediction,the target state is linearly updated in the measurement coordinate system.After the update,the intermediate transition state is mapped to the rectangular coordinate system to obtain the consistency estimation of the target state.Simulation results show that the improved Kalman filter based on the intermediate transition state can effectively improve the tracking accuracy of high resolution radar for space targets.

关 键 词：目标跟踪 高分辨雷达 空间目标 非线性问题 

分 类 号：TN953[电子电信—信号与信息处理]