一种基于角度测量估计飞行目标运动参数的新方法  

New Parameter Estimation Method for Flying Target Based on Bearing Measurements

作　　者：刘哲[1,2] 卫军胡[1] 赵军 姚东升 孙国基[1] 

机构地区：[1]西安交通大学机械制造系统工程国家重点实验室,西安710049 [2]乌鲁木齐21信箱187分箱,乌鲁木齐841700

出　　处：《西安交通大学学报》2008年第8期986-990,共5页Journal of Xi'an Jiaotong University

基　　金：总装重点资助项目

摘　　要：针对伪线性参数估计的实时性问题,提出了一种基于角度测量的飞行目标运动参数实时估计、跟踪算法.该算法对角度量测方程在当前飞行目标运动参数估计值附近进行泰勒级数展开,得出该时刻飞行目标的运动参数估计值与角度测量值之间的线性关系.在此基础上,利用最大似然估计法对估计值和估计误差协方差矩阵进行实时更新,再将更新值带入目标运动状态方程,以获得下一时刻的估计值和估计误差协方差,从而实现了飞行目标运动参数的迭代估计.仿真实验表明,所提算法可实现空中飞行目标的实时定位和位置、速度运动参数的实时估计,且无需存储大量的历史数据,其与伪线性参数估计算法相比,计算效率可提高50%.A new algorithm of the real-time target motion parameter estimation and tracking is proposed to overcome the limitation of the real-time motion parameter estimation of the flying target based on pseudo linear estimation （PLE）. The algorithm bases on the measurement of the flying target angle. The algorithm uses the Taylor series expansion to the angle measurement equation around the current flying target motion parameter estimation value, and the linear relationship is obtained between the estimated value for the current time flying target motion parameter and the observed value of the angle. Estimations are updated by combining a priori maximum likelihood estimation of the flying target motion parameters and its error covariance matrix with bearing measurements, to achieve the goal that the flying motion parameters are iteratively estimated. The simulation experiments show that the proposed algorithm is fast, stable, effective, and is a real-time processing mode in tracking system without a lot of historical data storage. Computational efficiency can be increased by 50% compared with PLE.

关 键 词：飞行目标 运动参数估计 伪线性测量 目标跟踪 

分 类 号：TN593[电子电信]