基于多特征参数的雷达数据关联及融合

Radar Data Association and Fusion Based on Multiple Characteristic Parameter

在高密集多回波环境下,针对多雷达系统参照目标位置信息参数进行跟踪时可能出现关联精度较差的问题,加入多普勒频率参数,提高对目标跟踪的精度。针对数据融合过程中各雷达产生的误差不一致问题,提出一种动态分配权值的策略,将带有权值的各雷达数据送往融合中心进行融合计算。仿真结果表明,该方法能改进雷达系统的跟踪精度。

In higher dense multi-return environment,reference target for the radar system to track the location of information may occur a poor association accuracy.Aiming at this problem,this paper adds Doppler frequency parameter to improve the accuracy of target tracking.In the process of data fusion,aiming at the difference of radar error,it gives a dynamic weight value allocation strategy.The weight value is sent to radar data fusion center for calculation and integration.Simulation results indicate that the method improves the tracking precision of radar system.