一种基于扩展卡尔曼滤波的雷达组网滤波方法

A Netted Radar Filtering Method Based on Extended Kalman Filtering

本文提出了一种基于三站雷达组网测速的空间目标滤波算法。首先,利用速度向量分解的方法解算出直角坐标系下目标真实速度向量,并讨论了该方法在解算目标真实速度向量时的条件;其次,用扩展卡尔曼滤波的方法提升了目标的位置精度和速度精度,并讨论了多站(三站以上)的情况;最后,仿真结果证明,该方法在目标机动以及低信噪比条件时,滤波精度高于基于径向速度的单站滤波方法。

This paper proposes a space target filtering algorithm based on velocity measurement of netted radar systems including three radars.First,the true velocity vector of a target is calculated in the rectangular coordinate system by using the velocity vector decomposition method.In addition,the necessary conditions for applying the velocity vector decomposition method to obtain the true velocity vector are discussed.Secondly,extended Kalman filtering is used to improve the position accuracy and velocity accuracy of the target.The scenario in which more than three radars are netted is also analyzed.The simulation results show that the proposed method has higher filtering accuracy than that of the radial velocity based single radar filtering method under target maneuvering and low SNR conditions.