多基地雷达聚类分析鉴别有源假目标

针对现有多基地雷达抗欺骗式干扰方法无法应用于多干扰源的问题，该文提出一种基于聚类分析的多基地雷达鉴别有源假目标方法，利用真假目标接收信号矢量之间相关性的差异，以相关系数为度量，通过聚类分析方法，将相同干扰源产生的假目标聚为一类，每个真实目标各为一类，实现有源假目标的有效鉴别。该方法可用于鉴别任意欺骗调制方式产生的有源假目标，且适用于多个干扰源实施分布式干扰的应用场景。最后，通过仿真实验，验证了所提聚类分析方法鉴别有源假目标的有效性。

Clustering Method to Discriminate Active False Targets in Multistatic Radar System

The available deception anti-jamming methods in multistatic radar can not be applied to multiple jamming sources. In view of this problem, a clustering analysis-based method is proposed to discriminate active false targets in multistatic radar, according to the differences in the correlation between the received signal vectors of true and false targets. Measured by the correlation coefficient in clustering analysis method, the false targets generated by the same jamming source are grouped into one cluster, while each true target constitutes one singleton cluster, achieving the effective discrimination of active false targets. The proposed method can be used to discriminate active false targets generated by any deception modulation mode and is suitable for the application of distributed jamming with multiple jamming sources. Finally, the effectiveness of the clustering analysis method to discriminate active false targets is verified through simulation experiments.