基于距离参数化EKF滤波器的纯方位目标运动分析

Bearings-only target motion analysis method based on range-parameterised EKF filter

针对纯方位机动目标运动分析问题,提出一种距离参数化EKF(RPEKF)滤波器设计方法,该方法能够有效降低探测平台与目标初始距离不确定性影响,提高目标运动状态估计滤波收敛性。针对水面目标典型机动形式,给出一种适用于RPEKF滤波器目标机动检测方法,基于评估目标方位角观测误差与目标运动状态协方差矩阵检测目标机动,通过重置滤波器保证目标运动状态估计滤波稳定。数字仿真分析结果表明,本文提出的算法能够实现对水面机动目标运动要素的快速无偏估计。

A design method of range-parameterised EKF(RPEKF)filter was proposed in this paper for bearings-only target motion analysis problem,it should be capable of reducing the impact of distance uncertainty caused by measurement,and improve the convergence of target motion states filter.A target maneuvering detection method which can be appropriate for RPEKF filter was discussed for typical maneuvering mode of the surface targets,maneuvering of a target can be detected by evaluating the errors relative to observed value and estimated value of bearings and covariance matrix,the stability can be guaranteed by means of resetting the initial parameters of RPEKF filter.The simulation results demonstrate that the algorithm can achieve the unbiased estimation of maneuvering target motion states rapidly.