改进的组网雷达目标跟踪数据关联算法

基于高逼真多假目标干扰在组网雷达进行数据处理时可能会极大地增加中心站的计算量,降低数据关联正确率,提出一种改进的双门限快速数据关联算法,利用无源侦察设备所测的目标属性参数与空间状态参数的联合统计距离,对有源雷达与无源侦察装备协同的数据关联进行改良。通过仿真比较得出改进算法不仅可以对目标成功地进行跟踪,降低目标位置均方根误差,而且运算时间要比传统的JPDA大为缩短,验证了算法的有效性。

An Improved Data Association Algorithm for Networked Radars Target Tracking

Considering that more verisimilar false targets jamming increasing calculation of the centre infinitely and reducing the correct probability of data association,an improved two gate FAFDA algorithm is proposed,and this algorithm uses the joint statistical distance of the dimensional parameter and the attribute parameter from the passive electronic reconnaissance equipment to improve the data association of active radars cooperated with passive electronic reconnaissance equipment.The results of computer simulation show that the new method not only can trace target successfully,decrease target position RMSE,but also the operation time is shorter than JPDA.