一种基于数据场聚类的雷达信号分选算法

发布时间：2018-03-24 11:53

本文选题：雷达信号分选　切入点：数据场　出处：《现代防御技术》2017年04期

【摘要】：针对传统聚类算法在雷达信号分选中存在的一些问题,提出了一种基于数据场聚类的信号分选算法。首先所有数据样本经过归一化计算,根据数据场理论计算样本的势值,通过寻找极大值点及其个数确定初始聚类中心和聚类数目,之后重新计算聚类中心。通过对频率捷变雷达的实验仿真,验证了算法的有效性。
[Abstract]:Aiming at some problems of traditional clustering algorithm in radar signal sorting, a signal sorting algorithm based on data field clustering is proposed. Firstly, all the data samples are normalized and the potential values of the samples are calculated according to the data field theory. The initial clustering center and the clustering number are determined by finding the maximum points and their numbers, and then the clustering centers are recalculated. The effectiveness of the algorithm is verified by the experimental simulation of frequency agile radar.
【作者单位】：南京船舶雷达研究所;
【分类号】：TN957.51

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