利用角度测量估计机动目标运动参数的方法

A New Parameter Estimation Method for Flying Target Using Bearing Measurement

针对伪线性参数估计不适用于运动参数估计的问题,提出了一种基于角度测量的飞行目标运动参数实时估计和跟踪算法.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,得到飞行目标此刻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参数估计值和估计误差协方差矩阵进行实时更新,并将更新值带入目标运动状态方程来估计下一时刻飞行目标的参数值和协方差,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,且无需存储大量的历史数据,与伪线性参数估计算法相比,计算效率可提高50%.

To overcome the limitation of the real-time motion parameter estimation of flying target based on PLE（pseudo linear estimation）, a new algorithm for real-time estimating and track- ing the motion parameters of flying target is proposed based on the measurement of flying target angle. The algorithm applies the Taylor series expansion to the angle measurement equation at the current flying target motion parameter estimation value, and the linear relationship between the estimated value of the current flying target motion parameter and the observed value of the angle is obtained. Then the estimations are updated by combining apriori maximum likelihood estimate of the flying target motion parameter and its error covariance matrix with bearing measure- ments, to iteratively estimate the flying motion parameters. Simulation results show that the proposed algorithm is fast, stable and effective, and is a real time processing mode in tracking system without a large amount of historical data storage. Its computational efficiency, compared with PLE, is increased by 50%.