基于熵灰关联算法的雷达对抗情报数据融合处理

Data fusion for radar countermeasures intelligence based on entropy coefficient gray correlation analysis

针对灰关联算法直接应用于雷达对抗情报融合时可靠性和准确性不高的问题,提出了基于熵灰关联融合算法的雷达对抗情报融合算法。该算法首先利用融合矩阵对雷达目标间参数的灰关联度和权重值进行建模,得出综合评价值,然后将其与阈值进行比较,最后计算属于同一雷达对抗情报数据的均值,实现雷达对抗情报数据的融合。仿真实验结果表明了该算法能够充分利用雷达对抗情报数据的有效信息,融合结果准确可靠,模型泛化能力强。

With the problem of reliability and the accuracy is not high while gray relational algorithm di- rectly applied in radar countermeasures intelligence fusion, an algorithm which based on entropy coefficient gray correlation is presented. The algorithm firstly uses matrix of the radar target parameter to model the gray correlation degree and weight values, and the comprehensive evaluation value is concluded, and then it is com- pared with the threshold. Finally, the algorithm calculates the average belongs to the same radar counter intel ligence data and realize the fusion. The simulation experimental results show that the algorithm can make full use of radar counter intelligence data information effectively, the fusion results are accurate and reliable, and the model generalization ability is strong.