一种提高雷达远距离机动目标精度的算法

在分析雷达对远距离机动目标跟踪速度精度要求和存在困难的基础上,提出了一种提高三坐标雷达速度估计精度的滤波算法。该算法将三维空间中目标的运动描述为切向和法向加速度机动的非线性状态方程,采用机动目标"当前"统计模型,建立了基于雷达三坐标测量的自适应扩展卡尔曼滤波算法。仿真结果表明,该算法可明显提高远距离目标机动段的速度精度。

An Algorithm for Enhancing the Tracking Accuracy of Radar Long Range Maneuvering Target

From the analysis of tracking velocity accuracy requirement as well as the exiting difficulties in radar long range maneuvering target tracking,a filtering algorithm is proposed to enhance the estimated velocity accuracy of three-dimensional ra- dar.According to this algorithm,the target motion in three-dimensional space is described by a nonlinear state equation,including tangential and normal accelerations.On the basis of the radar measured three-dimensional coordinates,an adaptive extended Kal- man filtering algorithm is established by employing the "current" statistical model of maneuvering target.The simulation results show that this algorithm can significantly improve the velocity accuracy in the maneuvering phase of long range target.