基于灰色理论的雷达组网数据融合方法

摘要

在分析了灰色关联分析及其改进算法的基础上,针对雷达组网中多传感器数据融合问题,提出了一种新的基于绝对关联度的数据融合方法.该方法将灰色理论和多元概率信息合并理论相结合,计算各雷达之间的总关联度,并用一次平均融合后的数据替换掉总关联程度最差的雷达数据,组成最优融合组,然后进行数据融合.仿真结果表明,该方法在减小计算量的同时,减小了径向误差.%Based on the analysis of the grey relational analysis and its improved algorithm, this paper presents a new method of data fusion based on the absolute degree of grey incidence in connection with multi-sensor data fusion in radar network. The new method combines absolute degree of grey incidence with Merge multiple probability theory, calculating the synthetic degree of incidence among radars. The composition of the most optimal fusion group can be obtained by replacing the worst radar data association degree with an average fusion data before the data fusion can be done. Simulation results show that this new fusion method can greatly improve the accuracy of the radial error when reducing computation.