基于数据场与云模型的多模雷达信号分选算法

The research of sorting method for multimode radar signal based on data field and cloud model

摘要:

针对传统分选算法处理多模雷达信号效果较差的问题,提出一种基于数据场的层次聚类信号分选算法,以克服多模雷达信号分选时存在的“增批”问题．将数据场理论应用于多模雷达辐射源信号的分选,利用数据场势函数划分辐射源信号数据 的层次,通过等势图的绘制完成数据的自组织层次聚类．提出一种基于云模型的分选结果有效性评估算法,可在脱离雷达辐射源库的情况下验证信号分选结果的有效性．仿真实验验证了提出算法的有效性．

Abstract:

To solve the problem that traditional sorting methods can not effectively deal with multimode radar signals, a new signal sorting method based on date field and hierarchical clustering is proposed to avoid the appearance of increasing-batch phenomenon when sorting multimode radar signals, and then a new algorithm based on cloud model used to evaluate the effectiveness of sorting results without database of radar radiation source is presented. The proposed algorithm is verified by simulations.