基于动态加权的雷达数据融合算法

Radar Fusion Algorithm Based on Dynamic Weighting

传统数据融合算法在处理雷达数据时,采用“平均”的思想,融合时不对数据加以区分。文中针对这一缺陷,提出了一种基于动态加权的雷达数据融合算法。新算法首先根据每部雷达的滤波误差动态计算量测数据的融合权值,然后根据融合权值获得融合量测数据,最后对融合数据进行滤波。仿真实验验证,相比传统数据融合算法,新算法能够提高目标的航迹跟踪精度。

Traditional radar fusion algorithms usually process data based on“Average”strategy.In this paper,a new algorithm is proposed based on dynamic weighting.The new algorithm,first calculates the fusion weight according to the dynamic filter error of every radar data,then obtains fusion data based on the dynamic weighting,finally processes fusion data.Simulation states that compared with traditional algorithms,the new algorithm improve the accuracy of track.