基于数据场与云模型的多模雷达信号分选算法

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.%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.