摘要
本文提出一种基于网格密度高效聚类的未知雷达辐射源信号分选算法。该方法通过改进的距离法对待分选对象集中的噪声和孤立点进行移除,再将剩余的PDW流映射至各网格单元中,并以网格密度为依据进行聚类,从而实现PDW流的分选。仿真结果表明,该算法能正确的分选出未知雷达信号。
A sorting algorithm for unknown radar radiation source signals based on grid density high-efficiency clustering is presented.The algorithm can be used to remove the concentrated noise and outliers from the objects to be sorted by using the improved distance method,then map the remaining PDW stream to each grid cell,and do clustering based on the grid density so as to implement sorting of PDW stream.The simulation results show that the proposed algorithm can successfully sort the unknown radar signals.
出处
《火控雷达技术》
2010年第4期67-72,共6页
Fire Control Radar Technology
关键词
雷达信号分选
网格密度聚类
孤立点
radar signal sorting
grid density clustering
outliers
