一种杂波环境下机动目标跟踪算法

A Method for Maneuvering Target Tracking in Clutter

针对杂波环境下的机动目标跟踪问题,提出了一种利用多普勒量测的机动目标跟踪算法。该方法首先通过多普勒量测解目标径向速度模糊,然后在目标量测方程中增加了径向速度维,将量测方程中的径向速度函数进行泰勒级数展开略去高阶量转为线性函数,同时在点迹关联时增加了径向速度波门,滤除更多的杂波点,利用多普勒量测计算出的径向速度实时更新观测值中的径向速度。通过计算机仿真,该算法相比传统算法提高了目标位置精度、速度精度和收敛速度。同时还分析了多普勒量测误差对目标跟踪性能的影响,多普勒量测误差越小,目标跟踪性能越好。

Aiming at the problem of maneuvering target tracking under the clutter environments,we propose a method for the maneuvering target tracking using the Doppler measurement.In our method,the radial velocity,which was estimated with the Doppler measurement,is first introduced to the measurement equation of the target,and then it is linearized after omitting the high-order terms in the Taylor series expansion.The radial velocity gate is added to the radar targets in the association to filter out clutter points.The radial velocity of the target observed is updated with the radial velocity calculated by the Doppler measurement.The simulated results demonstrate that the target location accuracy,velocity accuracy,and the convergence speed of proposed algorithm are all improved compared with those of traditional algorithms.In addition,the influence of the Doppler measurement error on the target tracking performance is also analyzed and the result indicates that the smaller the Doppler measurement error,the better the target tracking performance.